Big data analysis for brain tumor detection: Deep convolutional neural networks

Amin, Javeria, Sharif, Muhammad, Yasmin, Mussarat, Fernandes, Steven Lawrence·2018·Future Generation Computer Systems

Cited by (326)

Items 101–200 of 326

  1. Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19
    Otmane Azeroual, Renaud Fabre · 2021 · Big Data and Cognitive Computing
  2. WITHDRAWN: MRI based detection and classification of brain tumor using enhanced faster R-CNN and Alex Net model
    Prithvi Harish, S. Baskar · 2020 · Materials Today Proceedings · Retracted
  3. Evaluation of brain tumor using brain MRI with modified-moth-flame algorithm and Kapur’s thresholding: a study
    Seifedine Kadry, Venkatesan Rajinikanth, Nadaradjane Sri Madhava Raja, D. Jude Hemanth, Naeem M. S. Hannoon, Alex Noel Joseph Raj · 2021 · Evolutionary Intelligence
  4. Retracted: An integrated framework for COVID ‐19 classification based on classical and quantum transfer learning from a chest radiograph
    Muhammad Junaid Umer, Javaria Amin, Muhammad Imran Sharif, Muhammad Almas Anjum, Faisal Azam, Jamal Hussain Shah · 2021 · Concurrency and Computation Practice and Experience · Retracted
  5. An approach for brain tumor detection using optimal feature selection and optimized deep belief network
    T. Sathies Kumar, C. Arun, P. Ezhumalai · 2021 · Biomedical Signal Processing and Control
  6. An efficient detection of brain tumor using fused feature adaptive firefly backpropagation neural network
    A. Deepa, W. R. Sam Emmanuel · 2018 · Multimedia Tools and Applications
  7. Dual feature extraction based convolutional neural network classifier for magnetic resonance imaging tumor detection using U-Net and three-dimensional convolutional neural network
    R. Suresh Kumar, B. Nagaraj, P. Manimegalai, P. Ajay · 2022 · Computers & Electrical Engineering
  8. Motion intensity modeling and trajectory control of upper limb rehabilitation exoskeleton robot based on multi-modal information
    Wendong Wang, Junbo Zhang, Xin Wang, Xiaoqing Yuan, Peng Zhang · 2022 · Complex & Intelligent Systems
  9. Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-Net
    Amir Khorasani, Rahele Kafieh, Masih Saboori, Mohamad Bagher Tavakoli · 2022 · Physical and Engineering Sciences in Medicine
  10. A data constrained approach for brain tumour detection using fused deep features and SVM
    Prabira Kumar Sethy, Santi Kumari Behera · 2021 · Multimedia Tools and Applications
  11. Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions
    Shradha Verma, Tripti Goel, M. Tanveer, Weiping Ding, Rahul Sharma, R. Murugan · 2023 · Journal of Ambient Intelligence and Humanized Computing
  12. A Comprehensive Survey on Quantum Machine Learning and Possible Applications
    Muhammad Junaid Umer, Muhammad Imran Sharif · 2022 · International Journal of E-Health and Medical Communications
  13. Segmentation of Brain Tumors from MRI Images Using Convolutional Autoencoder
    Milica Badža Atanasijević, Marko Č. Barjaktarović · 2021 · Applied Sciences
  14. Brain tumor detection in MRI images using Adaptive-ANFIS classifier with segmentation of tumor and edema
    Rehna Kalam, Ciza Thomas, M. Abdul Rahiman · 2022 · Soft Computing
  15. Convolutional-neural-network-based feature extraction for liver segmentation from CT images
    Mubashir Ahmad, Yuan Ding, Syed Furqan Qadri, Jian Jun Yang · 2019 · International Conference on Digital Image Processing
  16. Deep learning for brain disorders: from data processing to disease treatment
    Ninon Burgos, Simona Bottani, Johann Faouzi, Elina Thibeau–Sutre, Olivier Colliot · 2020 · Briefings in Bioinformatics
  17. Advancements in hybrid approaches for brain tumor segmentation in MRI: a comprehensive review of machine learning and deep learning techniques
    Ravikumar Sajjanar, Umesh D. Dixit, Vittalkumar K Vagga · 2023 · Multimedia Tools and Applications
  18. Multilayer Stacked Probabilistic Belief Network-Based Brain Tumor Segmentation and Classification
    S Raghavendra, A. Harshavardhan, Shukoh Neelakandan, R. Partheepan, Ranjan Walia, V. Chandra Shekhar Rao · 2022 · International Journal of Foundations of Computer Science
  19. Brain Tumor Detection and Classification Using PSO and Convolutional Neural Network
    Muhammad Junaid Ali, Jamal Hussain Shah, Muhammad Attique Khan, Majed Mohaia Alhaisoni, Usman Tariq, Tallha Akram, Ye Jin Kim, Byoungchol Chang · 2022 · Computers, materials & continua/Computers, materials & continua (Print)
  20. 3D-semantic segmentation and classification of stomach infections using uncertainty aware deep neural networks
    Javaria Amin, Muhammad Sharif, Eman Gul, Ramesh Sunder Nayak · 2021 · Complex & Intelligent Systems
  21. Enhancing Brain Tumor Diagnosis: Transitioning From Convolutional Neural Network to Involutional Neural Network
    Abdullah Ali M Asiri, Ahmad Shaf, Tariq M. Ali, Maryam Zafar, Muhammad Ahmad Pasha, Muhammad Irfan, Saeed Alqahtani, Ahmad Joman Alghamdi, Ali Alghamdi, Abdullah Fahad A. Alshamrani et al. · 2023 · IEEE Access
  22. Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis
    Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise · 2025 · Scientific Reports
  23. RETRACTED ARTICLE: Review of brain tumor detection from MRI images with hybrid approaches
    Nandini Vaibhav Dhole, Vaibhav V. Dixit · 2022 · Multimedia Tools and Applications · Retracted
  24. A weighted least squares optimisation strategy for medical image super resolution via multiscale convolutional neural networks for healthcare applications
    Bhawna Goyal, Dawa Chyophel Lepcha, Ayush Dogra, Shuihua Wang‎ · 2021 · Complex & Intelligent Systems
  25. Fast brain tumor detection using adaptive stochastic gradient descent on shared-memory parallel environment
    Chuandong Qin, Baosheng Li, Baole Han · 2023 · Engineering Applications of Artificial Intelligence
  26. Enhancing brain tumor segmentation in MRI images using the IC-net algorithm framework
    C. S., J. Christopher Clement · 2024 · Scientific Reports
  27. An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices
    Dheerendranath Battalapalli, B. V. V. S. N. Prabhakar Rao, P. Yogeeswari, Chandrasekharan Kesavadas, Venkateswaran Rajagopalan · 2022 · BMC Medical Imaging
  28. Brain tumor recognition using an integrated bat algorithm with a convolutional neural network approach
    Riddhi Chawla, Shehab Mohamed Beram, C. Ravindra Murthy, T Thiruvenkadam, N.P.G. Bhavani, R Saravanakumar, P. J. Sathishkumar · 2022 · Measurement Sensors
  29. Henry gas bird swarm optimization algorithm‐based deep learning for brain tumor classification using magnetic resonance imaging
    Sinciya Ponnupilla Omana, Jawad Ahmad Dar, T. Rajesh Kumar, Arpakkam Karuppan Sampath, Sudhir Kr Sharma · 2022 · Concurrency and Computation Practice and Experience
  30. Intelligent, Secure Big Health Data Management Using Deep Learning and Blockchain Technology: An Overview
    Sohail Saif, Suparna Biswas, Samiran Chattopadhyay · 2019 · Studies in big data
  31. Context aware machine learning techniques for brain tumor classification and detection – A review
    Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish · 2025 · Heliyon
  32. Deep learning and spark architecture based intelligent brain tumor MRI image severity classification
    S. Abirami, G. K. D. Prasanna Venkatesan · 2022 · Biomedical Signal Processing and Control
  33. Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions
    Javaria Amin, Muhammad Almas Anjum, Muhammad Malik · 2022 · Knowledge-Based Systems
  34. Fractured Elbow Classification Using Hand-Crafted and Deep Feature Fusion and Selection Based on Whale Optimization Approach
    Sarib Malik, Javaria Amin, Muhammad Imran Sharif, Mussarat Yasmin, Seifedine Kadry, Sheraz Anjum · 2022 · Mathematics
  35. Medical Imaging With Intelligent Systems: A Review
    Geethu Mohan, Mohan Monica Subashini · 2019 · Elsevier eBooks
  36. Electroencephalogram for epileptic seizure detection using stacked bidirectional LSTM_GAP neural network
    D. K. Thara, B G Premasudha, Ramesh Sunder Nayak, T. V. Murthy, G. Ananth Prabhu, Naeem M. S. Hannoon · 2020 · Evolutionary Intelligence
  37. Early Tumor Diagnosis in Brain MR Images via Deep Convolutional Neural Network Model
    Tapan Kumar Das, Pradeep Kumar Roy, Mohy Uddin, Kathiravan Srinivasan, Chuan‐Yu Chang, Shabbir Syed-Abdul · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
  38. Real-time brain tumour diagnoses using a novel lightweight deep learning model
    Mohammed Hussein Osman Alnageeb, M. H. Supriya · 2025 · Computers in Biology and Medicine
  39. Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data
    Joice J Anish, D. Ajitha · 2025 · IEEE Access
  40. Segmentation of MRI Brain Tumor Image using Optimization based Deep Convolutional Neural networks (DCNN)
    Pradipta Kumar Mishra, Suresh Chandra Satapathy, Minakhi Rout · 2021 · Open Computer Science
  41. An Integrated Design of Fuzzy C-Means and NCA-Based Multi-properties Feature Reduction for Brain Tumor Recognition
    Muhammad Attique Khan, Habiba Arshad, Wasif Nisar, Muhammad Younus Javed, Muhammad Imran Sharif · 2020 · Springer eBooks
  42. The learning of the precipitates morphological parameters from the composition of nickel-based superalloys
    Yunqiang Wang, Mingming Lu, Zi Wang, Jin Liu, Lei Xu, Zijun Qin, Zexin Wang, Bingfeng Wang, Feng Liu, Jianxin Wang · 2021 · Materials & Design
  43. Brain tumor image pixel segmentation and detection using an aggregation of GAN models with vision transformer
    Priyanka Datta, Rajesh Rohilla · 2023 · International Journal of Imaging Systems and Technology
  44. A successive framework for brain tumor interpretation using Yolo variants
    S. Priyadharshini, Ramasubramanian Bhoopalan, Durairaj Manikandan, Krishnaraj Ramaswamy · 2025 · Scientific Reports
  45. Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data
    R. Manikandan, Rizwan Patan, Ambeshwar Kumar, Soheil Hosseini, Amir H. Gandomi · 2021 · IEEE Transactions on Engineering Management
  46. Detection of brain space-occupying lesions using quantum machine learning
    Javaria Amin, Muhammad Almas Anjum, Nadia Gul, Muhammad Imran Sharif · 2023 · Neural Computing and Applications
  47. High-performance compression-based brain tumor detection using lightweight optimal deep neural network
    Bijay Kumar, Shafiulla Basha Shaik, Harikrishna Mulam · 2022 · Advances in Engineering Software
  48. Malaria Parasite Detection Using a Quantum-Convolutional Network
    Javaria Amin, Muhammad Almas Anjum, Abida Sharif, Mudassar Raza, Seifedine Kadry, Yunyoung Nam · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
  49. A novel approach to brain tumor detection using K-Means++, SGLDM, ResNet50, and synthetic data augmentation
    Ponuku Sarah, Srigiri Krishnapriya, Saritha Saladi, Yepuganti Karuna, Durga Prasad Bavirisetti · 2024 · Frontiers in Physiology
  50. Hybridized classification approach for magnetic resonance brain images using gray wolf optimizer and support vector machine
    Heba M. Ahmed, Bayumy A. B. Youssef, Ahmed Saad Elkorany, Zeinab F. Elsharkawy, Adel A. Saleeb, Fathi E. Abd El‐Samie · 2019 · Multimedia Tools and Applications
  51. Multiple Instance Learning with Genetic Pooling for medical data analysis
    Kamanasish Bhattacharjee, Millie Pant, Yudong Zhang, Suresh Chandra Satapathy · 2020 · Pattern Recognition Letters
  52. Improved Video Stabilization using SIFT-Log Polar Technique for Unmanned Aerial Vehicles
    Muhammad Imran Sharif, Safdar Khan, Tanzila Saba, Mudassar Raza, Amjad Ur Rehman · 2019
  53. Genetic algorithm based key sequence generation for cipher system
    K B Sudeepa, Ganesh Aithal, Venkatesan Rajinikanth, Suresh Chandra Satapathy · 2020 · Pattern Recognition Letters
  54. A Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques
    Chalapathiraju Kanumuri, Ch. Renu Madhavi · 2022
  55. Multi-objective Archimedes Optimization Algorithm with Fusion-based Deep Learning model for brain tumor diagnosis and classification
    B. Devanathan, M. Kamarasan · 2022 · Multimedia Tools and Applications
  56. Current challenges of the state-of-the-art of AI techniques for diagnosing brain tumor
    Ahmed H, Dada MO, Bahago B. Samaila · 2023 · Material Science & Engineering International Journal
  57. A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques
    Tariq Sadad, Amjad Ur Rehman, Ayyaz Hussain, Aaqif Afzaal Abbasi, Muhammad Qasim Khan · 2020 · Current Medical Imaging Formerly Current Medical Imaging Reviews
  58. Diagnosis of COVID-19 Infection Using Three-Dimensional Semantic Segmentation and Classification of Computed Tomography Images
    Javaria Amin, Muhammad Irfan Sharif, Muhammad Almas Anjum, Yunyoung Nam, Seifedine Kadry, David Taniar · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
  59. Fruits and Vegetable Diseases Recognition Using Convolutional Neural Networks
    Javaria Amin, Muhammad Almas Anjum, Muhammad Irfan Sharif, Seifedine Kadry, Yunyoung Nam · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
  60. Weakly supervised segmentation of tumor lesions in PET-CT hybrid imaging
    Marcel Früh, Marc Fischer, Andreas Schilling, Sergios Gatidis, Tobias Hepp · 2021 · Journal of medical imaging
  61. A Novel Hybrid Machine Learning Approach for Classification of Brain Tumor Images
    Abdullah Ali M Asiri, Amna Iqbal, Javed Ferzund, Tariq M. Ali, Muhammad Aamir, Khalaf A Alshamrani, Hassan A. Alshamrani, Fawaz F. Alqahtani, Muhammad Irfan, Ali H. D. Alshehri · 2022 · Computers, materials & continua/Computers, materials & continua (Print)
  62. Recent Methods and Challenges in Brain Tumor Detection Using Medical Image Processing
    Sai Yasheswini Kandimalla, Dhara Mohana Vamsi, Samudrala Bhavani, V. M. Manikandan · 2022 · Recent Patents on Engineering
  63. One-dimensional convolutional neural network model driven intelligent operation phases identification of hydraulic press using energy data
    Yanxiong Liu, Yuwen Shu, Zhicheng Xu, Senbo Han, Changbang Zhang, Mingzhang Chen · 2025 · Engineering Applications of Artificial Intelligence
  64. A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN
    Sannasi Ganapathy, Vikrant Thoidingjam, Amrit Sen · 2024 · Multimedia Tools and Applications
  65. Diagnosis of Glioma, Menigioma and Pituitary brain tumor using MRI images recognition by Deep learning in Python
    Seyed Masoud Ghoreishi Mokri, Newsha Valadbeygi, V. N. Grigoryeva · 2024 · EAI endorsed transactions on intelligent systems and machine learning applications.
  66. A modified classical-quantum model for diabetic foot ulcer classification
    Javaria Amin, Muhammad Almas Anjum, Abida Sharif, Muhammad Imran Sharif · 2022 · Intelligent Decision Technologies
  67. Identification and Classification of Brain Tumor Using Convolutional Neural Network with Autoencoder Feature Selection
    Hema M S, Sowjanya, Niteesha Sharma, G. Abhishek, G. Shivani, P. Pavan Kumar · 2022 · Communications in computer and information science
  68. Enhancing Brain Tumor Detection and Classification with Reduced Complexity Spatial Fusion Convolutional Neural Networks
    2023 · International journal of intelligent engineering and systems
  69. Deep Learning-Based Brain Tumor Image Analysis for Segmentation
    Zahid Mansur, Jyotismita Talukdar, Thipendra P. Singh, Chandan Jyoti Kumar · 2024 · SN Computer Science
  70. Automated optimized classification techniques for magnetic resonance brain images
    Ahmed Saad Elkorany, Zeinab F. Elsharkawy · 2020 · Multimedia Tools and Applications
  71. Enhancement of Pre-Trained Deep Learning Models to Improve Brain Tumor Classification
    Zaka Ullah, Ayman Hussien Odeh, Ihtisham Khattak, Muath Al‐Hasan · 2023 · Informatica
  72. Pixelwise Gradient Model with GAN for Virtual Contrast Enhancement in MRI Imaging
    Ka-Hei Cheng, Wen Li, Francis Kar-Ho Lee, Li Tian, Jing Cai · 2024 · Cancers
  73. A novel brain tumor segmentation and classification model using deep neural network over MRI-flair images
    Rajendrane Rajmohan, Tamilarasan Ananth Kumar, S. G. Sandhya, Yu‐Chen Hu · 2024 · Multimedia Tools and Applications
  74. Enhancing Brain Tumor MRI Segmentation Accuracy and Efficiency with Optimized U-Net Architecture
    Sultanul Arifeen Hamim, Akinul Islam Jony · 2024 · Malaysian Journal of Science and Advanced Technology
  75. ASystematic Mapping Study on Brain Tumors Recognition Based on Machine Learning Algorithms
    Hayder Qasim Flayyih, Jumana Waleed, Saad Albawi · 2020 · International Conference on Engineering Technology and its Applications (IICETA)
  76. Brain Tumor Classification Using VGG-16 and MobileNetV2 Deep Learning Techniques on Magnetic Resonance Images (MRI)
    Rashmi Saini, Prabhakar Semwal, Tushar Hrishikesh Jaware · 2023 · Communications in computer and information science
  77. Trustworthy artificial intelligence in healthcare
    Abdülhamit Subaşı, Öznur Özaltın, Arka Mitra, Muhammed Enes Subasi, Akila Sarirete · 2023 · Elsevier eBooks
  78. Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
    Hari Mohan Rai, Joon Yoo, Serhii Dashkevych · 2025 · Archives of Computational Methods in Engineering
  79. A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans
    Samia Nawaz Yousafzai, Inzamam Mashood Nasir, Sahar Mansour, Noha Negm, Asma A. Alhashmi, Mohannad A. Alharbi, Eunchan Kim · 2026 · Scientific Reports
  80. A Comprehensive Survey on MRI Images Classification for Brain Tumor Identification using Deep Learning Techniques
    Kondra Pranitha, Naresh Vurukonda, Rudra Kalyan Nayak · 2022 · International Conference on Smart Electronics and Communication (ICOSEC)
  81. Brain Tumor Segmentation and Classification approach for MR Images Based on Convolutional Neural Networks
    Mustafa A. Sameer, Oğuz Bayat, Hussam J. Mohammed · 2020 · Information Technology To Enhance e-learning and Other Application (IT-ELA)
  82. A Novel Inherited Modeling Structure of Automatic Brain Tumor Segmentation from MRI
    Abdullah Ali M Asiri, Tariq M. Ali, Ahmad Shaf, Muhammad Aamir, Muhammad Ali Shoaib, Muhammad Irfan, Hassan A. Alshamrani, Fawaz F. Alqahtani, Osama Mohammed Alshehri · 2022 · Computers, materials & continua/Computers, materials & continua (Print)
  83. Dynamic selectout and voting-based federated learning for enhanced medical image analysis
    Saeed Iqbal, Adnan Nabeel Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Azzuhri · 2024 · Machine Learning Science and Technology
  84. An integrated landslide susceptibility assessment in the Karakoram Mountains based on SBAS-InSAR and machine learning: a case study of the Hunza Valley
    Xiaojun Su, Yi Zhang, Xingmin Meng, Mohib ur Rehman, Dongxia Yue, Yan Nan Zhao, Ziqiang Zhou, Fuyun Guo, Qiang Zhou, Baicheng Niu · 2025 · Bulletin of Engineering Geology and the Environment
  85. Composite Attention Residual U-Net for Rib Fracture Detection
    Xiaoming Wang, Yongxiong Wang · 2023 · Entropy
  86. 3D U-Net: Fully Convolutional Neural Network for Automatic Brain Tumor Segmentation
    Syed Fahim Ahmed, Fairuz Shezuti Rahman, Tasmia Tabassum, Md. Tariqul Islam Bhuiyan · 2019 · International Conference on Computer and Information Technology (ICCIT)
  87. Retracted: An efficient medical image super resolution based on piecewise linear regression strategy using domain transform filtering
    Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Shuihua Wang‎ · 2021 · Concurrency and Computation Practice and Experience · Retracted
  88. A self-adaptive monarch butterfly optimization (MBO) algorithm based improved deep forest neural network model for detecting and classifying brain stroke lesions
    Sunil Babu Melingi, Ramesh Kumar Mojjada, C. Tamizhselvan, R. Surender, S. Yazhinian · 2022 · Research on Biomedical Engineering
  89. A Combination of Image Enhancement and U-Net Architecture for Segmentation in Identifying Brain Tumors on CT-SCAN Images
    Anita Desiani, Muhammad Adrezo, Nyayu Chika Marselina, Muhammad Arhami, Aulia Salsabila, Muhammad Gibran Al-Filambany · 2022 · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)
  90. Hybrid Image Processing-Based Examination of 2D Brain MRI Slices to Detect Brain Tumor/Stroke Section: A Study
    David J. Lin, Venkatesan Rajinikanth, Hong Lin · 2020 · Springer eBooks
  91. A Unified Pipeline for Simultaneous Brain Tumor Classification and Segmentation Using Fine-Tuned CNN and Residual UNet Architecture
    Faisal Alshomrani · 2024 · Life
  92. Dual-method for semantic and instance brain tumor segmentation based on UNet and mask R-CNN using MRI
    Javaria Amin, Nadia Gul, Muhammad Irfan Sharif · 2025 · Neural Computing and Applications
  93. Brain tumour classification using MRI images based on lenet with golden teacher learning optimization
    Srilakshmi Aluri, S. Sagar Imambi · 2023 · Network Computation in Neural Systems
  94. Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images
    Amal Alshardan, Nuha Alruwais, Hamed Alqahtani, Asma Alshuhail, WAFA SULAIMAN ALMUKADI, Ahmed El Sayed · 2024 · Scientific Reports
  95. Contextual background modeling using deep convolutional neural network
    Midhula Vijayan, R. Mohan, Preeth Raguraman · 2019 · Multimedia Tools and Applications
  96. An augmented customized deep learning approach for brain tumour identification
    Mangena Venu Madhavan, Aditya Khamparia, Sagar Dhanraj Pande · 2023 · The Imaging Science Journal
  97. Automated Hybrid Model for Detection and Classification of Brain Tumor
    Ayesha Khalid Khan, Shahzad Akbar, Amerah Alghanim, Syed Ale Hassan, Noor Ayesha · 2023 · International Women in Data Science Conference at Prince Sultan University (WiDS PSU)
  98. Brain Tumor Detection Using Deep Learning
    Dr. Prof. ML Sharma, Mayank Gahlot, Suraj Chaudhary · 2023 · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
  99. RETRACTED: Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning
    Javaria Amin, Irum Shazadi, Muhammad Imran Sharif, Mussarat Yasmin, Nouf Abdullah Almujally, Yunyoung Nam · 2024 · Heliyon · Retracted
  100. Revealing Brain Tumor Using Cross-Validated NGBoost Classifier
    Shawni Dutta, Prof. Samir Kumar Bandyopadhyay · 2020 · International Journal of Machine Learning and Networked Collaborative Engineering