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
DOI 10.1016/j.future.2018.04.065

Cited by (326)

Items 201–300 of 326

  1. An Innovative Method for Detecting Brain Tumors that Combines Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning with Artificial Data Augmentation
    Narenthirakumar Appavu · 2025 · International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)
  2. Image Segmentation and Classification Using CNN Model to Detect Brain Tumors
    Shadi M S Hilles, Noor S. Saleh · 2021 · International Informatics and Software Engineering Conference (IISEC)
  3. DiaMe: IoMT deep predictive model based on threshold aware region growing technique
    Safia Abbas, Abeer M. Mahmoud · 2021 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
  4. Implementation of Brain Tumor Detection with Deep Learning Classification Using Hybrid Feature Extraction
    Amgoth Harichandar Lal, E. Sreenivasulu, M. Aravind Kumar, Srinivas Bachu · 2022 · International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
  5. Study of Transferability of ImageNet-Based Pretrained Model to Brain Tumor MRI Dataset
    Zhiyuan Chen · 2022 · International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)
  6. A Study on the Bat Algorithm Technique to Evaluate the Skin Melanoma Images
    Nilanjan Dey, Venkatesan Rajinikanth, Hong Lin, Fuqian Shi · 2020 · Springer tracts in nature-inspired computing
  7. Enhancing Autism Spectrum Disorder Recognition in EEG Data through Filtering-Driven CNN Approach
    Neel Kansara, Aadharsh Rajkumar, Pragati Dharmale, Mahesh Khadtare · 2024 · International Conference on Consumer Electronics
  8. COVID-19 classification in X-ray/CT images using pretrained deep learning schemes
    Narenthirakumar Appavu, C. Nelson Kennedy Babu, Seifedine Kadry · 2024 · Multimedia Tools and Applications
  9. Deep transfer learning based feature fusion model with Bonobo optimization algorithm for enhanced brain tumor segmentation and classification through biomedical imaging
    Pradeep Gurunathan, Preethi Saroj Srinivasan, S. Ravimaran · 2025 · Scientific Reports
  10. An approach for brain tumour detection based on dual-tree complex Gabor wavelet transform and neural network using Hadoop big data analysis
    Santhosh Kumar H S, K. Karibasappa · 2022 · Multimedia Tools and Applications
  11. RETRACTED: Segmentation and classification of lymphoblastic leukaemia using quantum neural network
    Javaria Amin, Muhammad Almas Anjum, Senka Krivić, Muhammad Irfan Sharif · 2022 · Expert Systems · Retracted
  12. VisionNet: An efficient vision transformer-based hybrid adaptive networks for eye cancer detection with enhanced cheetah optimizer
    B. Akshaya, Sakthivel P · 2024 · Biomedical Signal Processing and Control
  13. Brain tumor segmentation using river formation dynamics and active contour model in magnetic resonance images
    Jyotika Pruthi, Shaveta Arora, Kavita Khanna · 2022 · Neural Computing and Applications
  14. Deep pattern-based tumor segmentation in brain MRIs
    Nadjet Bouchaour, Smaine Mazouzi · 2022 · Neural Computing and Applications
  15. Explanation of Machine Learning Algorithms Used in Disease Detection, Such as Decision Trees and Neural Networks
    Nikhil Verma, Tripti Sharma, Bobbinpreet Kaur · 2025
  16. Clustering based Medical Image Segmentation: A Study on MRI Scans of Brain Tumors
    Aigul Mimenbayeva, А.B. Aruova, Gulmira Bekmagambetova, Rozamgul Niyazova, Rakhila D. Turebayeva, A A Naizagarayeva, Ainur Tursumbayeva · 2024 · International Conference on Advances in Artificial Intelligence (ICAAI)
  17. Systematic survey on generative adversarial networks for brain tumor segmentation and classification
    Jatinder Kaur, Ashutosh Kumar Singh, Neeru Jindal · 2023 · Concurrency and Computation Practice and Experience
  18. A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
    Hari Mohan Rai, Joon Yoo, Abdul Razaque · 2024 · Medical & Biological Engineering & Computing
  19. A Novel Approach To Brain Tumor Detection using AI ML, DL, with Synthetic Data Augmentation
    Narenthirakumar Appavu · 2025 · International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
  20. HNMD‐CNN: A Hierarchical Narrowing Multi‐Deep Convolutional Neural Network for Precision Glioma Classification in 3D MRI Images
    Nayer Seyed Hoseini, Masoud Kargar, Ali Bayani, Sondos Ardebili · 2025 · Computational and Systems Oncology
  21. A Deep Learning Approach to Diagnosing Schizophrenia
    Justin Barry · 2019 · Journal of International Crisis and Risk Communication Research
  22. Cross-Dataset Multiple Organ Segmentation From CT Imagery Using FBP-Derived Domain Adaptation
    Jun Jian Huang, Xue Li, Jing Wang, Xiaxia Yu, Liangjia Zhu, Ying Zhan, Yi Gao, Chuan Huang · 2021 · IEEE Access
  23. The Effective Study of Transfer Learning with VGG-16 on Detection and Classification of Brain Tumor
    Sowjanya Kallempudi Sai, Ishan Kumar · 2021 · Communications in computer and information science
  24. MRI image segmentation using machine learning networks and level set approaches
    Layth Kamil Adday Almajmaie, Ahmed Raad Raheem, Wisam Ali Mahmood, Saad Albawi · 2021 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
  25. Extended and optimized deep convolutional neural network‐based lung tumor identification in big data
    Antony Dennis Ananth, Chenniappan Palanisamy · 2021 · International Journal of Imaging Systems and Technology
  26. Brain Tumour Detection Using Convolutional Neural Networks
    B. Kalyan, P. Chandra Sekhar Reddy · 2022 · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
  27. RETRACTED ARTICLE: Effective image segmentation through MRI with fuzzy-based cell detection using deep learning
    N. Manjunathan, N. Gomathi · 2023 · Soft Computing · Retracted
  28. Recent Advancements in Brain Tumor Segmentation and Classification using Deep Learning: A Review
    Muhmmad Irfan Sharif · 2019 · International Journal of Engineering Research and
  29. Toward Identifying the Urban Community Structure from Population Flow and Public Services Distribution
    Qinghe Liu, Zhicheng Liu, Yinfei Xu, Weiting Xiong, Junyan Yang, Qiao Wang · 2020 · IEEE International Conference on Big Data (BigData)
  30. Novel Framework for Predictive Analytics of Brain Tumor Segmentation Using Recurrent Neural Network
    B. Paulchamy, K. Mahendrakan, J. Jaya · 2021 · International Conference on Electronics and Sustainable Communication Systems (ICESC)
  31. Design and Development of Hypertuned Deep learning Frameworks for Detection and Severity Grading of Brain Tumor using Medical Brain MR images
    Neha Bhardwaj, Meenakshi Sood, Sandeep Singh Gill · 2024 · Current Medical Imaging Formerly Current Medical Imaging Reviews
  32. Deep Learning-aided Brain Tumor Detection: An Initial Experience based Cloud Framework
    Safia Abbas, Abeer M. Mahmoud · 2020 · Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
  33. A Study on Brain Tumor Analysis Using Deep Learning Methods
    Sheetal Prusty, Rutuparna Panda, Lingraj Dora, Sanjay Agrawal · 2022 · International Conference on Computing Methodologies and Communication (ICCMC)
  34. Preparation of an aptamer electrochemical sensor for the highly sensitive detection of glioma cells
    Guangyong Chen, Meiling Xu, Chengyan He · 2023 · International Journal of Electrochemical Science
  35. Advancing Brain Tumor Analysis through Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis
    S. Kannan, Shanmugam Anusuya · 2023 · Computers, materials & continua/Computers, materials & continua (Print)
  36. Data Pre-processing Techniques for Brain Tumor Classification
    Neha Bhardwaj, Meenakshi Sood, S.S. Gill · 2024 · Lecture notes in electrical engineering
  37. Deep Learning Application in Classification of Brain Metastases: Sensor Usage in Medical Diagnosis for Next Gen Healthcare
    Rohit Rastogi, Devendra Kumar Chaturvedi, Sheelu Sagar, Neeti Tandon, Akshit Rajan Rastogi · 2021 · EAI/Springer Innovations in Communication and Computing
  38. Deep Learning-aided Brain Tumor Detection: An Initial Experience based Cloud Framework
    Safia Abbas, Abeer M. Mahmoud · 2020 · Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
  39. OGIF : A novel Optimized Guided Image Filter for image enhancement
    Vikrant Bhateja, Ankit Kumar Yadav, Disha Singh · 2023 · Expert Systems
  40. Detection of Brain Tumor using Machine Learning Classifiers – A Comparative Study
    G Anitha, A. S Usman, Suhail Ahmed, Heeba Nasser · 2023 · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON)
  41. Development of the Tumor Diagnosis Application for Medical Practitioners using Transfer Learning
    Nadeem Sarwar, Iram Noreen, Asma Irshad · 2022 · BioScientific Review
  42. A Hybrid Neural Network Model for Brain Tumor Detection in Brain MRI Images
    Fahad Bin Mohammad Hossain, Md Asfakur Rahat, Jishan Ahmed Rabbi, Md Rony Ali, Nazmur Raihan, Jubayer Al Mahmud, Md. Raisul Alam, Md. Saifur Rahman · 2022 · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
  43. Enhancing Brain Tumor Detection Through Deep Learning: A Comparative Study of CNN and Pre-trained VGG-16 Models
    Dhritiraj Barman, Amal Satheesh, James Vanlalpeka, Abhijit Bora, Gypsy Nandi · 2024 · Lecture notes in networks and systems
  44. Early stage brain tumor prediction using dilated and Attention-based ensemble learning with enhanced Artificial rabbit optimization for brain data
    Mala Saraswat, Anil Kumar Dubey · 2024 · Biomedical Signal Processing and Control
  45. Automated Recognition of Autism Spectrum Disorder from EEG Signals Using a CNN-LSTM Hybrid Model
    Pranav Gupta, Helen Lee, Aranyak Laxmanan, Mahesh Khadtare, Pragati Dharmale, Dnyaneshwar Dadaji Ahire · 2025 · International Conference on Consumer Electronics
  46. Exploiting Weak Ties in Incomplete Network Datasets Using Simplified Graph Convolutional Neural Networks
    Neda Hajiakhoond Bidoki, Alexander V. Mantzaris, Gita Sukthankar · 2020 · Machine Learning and Knowledge Extraction
  47. Revealing Brain Tumor Using Cross-Validated NGBoost Classifier: NG Boost Classifier
    Shawni Dutta, Samir Kumar Bandyopadhyay · 2020 · International Journal of Machine Learning and Networked Collaborative Engineering
  48. A Two-Dimensional Convolutional Neural Network for Brain Tumor Detection From MRI
    Ayoub Najaf-Zadeh · 2020 · Quarterly of Horizon of Medical Sciences
  49. AN OPTIMAL TSALLIS ENTROPY BASED SEGMENTATION WITH DEEP EXTREME LEARNING MACHINE FOR MEDICAL IMAGE CLASSIFICATION USING MRI IMAGES
    K. Deeparani, P. Sudhakar · 2021 · Indian Journal of Computer Science and Engineering
  50. Genetic Algorithm Based Fuzzy Local Informationc-Means (Gaflicm) Clustering Algorithm And Hybrid Kernel Convolution Neural Network (Hkcnn) With Distributed Processing Framework For Brain Mri Images
    Et. al. Vigneshwari K · 2021 · Türk bilgisayar ve matematik eğitimi dergisi
  51. A Wrapper based feature extraction framework based on AlexNet deep convolutional neural network parameters optimized using gradient‐based optimizer for mammogram images
    N. K. Sakthivel, S. Subasree, Shaveta Malik, Amit Kumar Tyagi · 2022 · Concurrency and Computation Practice and Experience
  52. Multi-classification of Brain Tumor MRI Images Using Deep CNN Features and ML Classifiers
    B. Sandhiya, Subramanian Kanaga Suba Raja · 2023 · Lecture notes in electrical engineering
  53. Brain tumor detection using convolutional neural networks
    Bolisetti Rama Naga Achyutha Bangaram, Veera Venkata Manoj Danturthi, D. Usha Nandini · 2024 · AIP conference proceedings
  54. Brain Tumor Analysis Using Deep Learning: Sensor and IoT‐Based Approach for Futuristic Healthcare
    Rohit Rastogi, Devendra Kumar Chaturvedi, Sheelu Sagar, Neeti Tandon, Akshit Rajan Rastogi · 2022
  55. An Efficient Approach to Detect Meningioma Brain Tumor Using Adaptive Neuro Fuzzy Inference System Method
    B. V. Prakash, A. Rajiv Kannan · 2022 · Journal of Medical Imaging and Health Informatics
  56. Inter and Intra Slice Reduction in Brain Tumor Segmentation
    Divya Mohan, Venugopal Ulagamuthalvi, Nisha Joseph, Kulanthaivel Govindarajan · 2023 · Traitement du signal
  57. A UNIFIED PARADIGM OF CLASSIFYING GI TRACT DISEASES IN ENDOSCOPY IMAGES USING MULTIPLE FEATURES FUSION
    Muhammad Afraz, Abdul Haseeb, Abdul Muiz Fayyaz · 2023 · Azerbaijan Journal of High Performance Computing
  58. CNN Shines in Brain Tumor Detection: Insights from Deep Learning
    N. Bharatha Devi, R.S. Ramya, Niyas Ahamed A, S. Lekashri, G. Vinuja · 2023 · International Conference on Integrated Intelligence and Communication Systems (ICIICS)
  59. A Hybrid Technique to Predict Brain Tumour using MRI Image
    J. Kishore Kumar, P. Ramakrishna · 2024 · International Journal of Scientific Research in Computer Science Engineering and Information Technology
  60. A Novel Light Weight CNN Model for Brain Tumor Classification
    Shriharsha Holagannavar, Sanjay Ranjanagi, Anup Mastiholi, Vinod, Priyadarshini C. Patil · 2024 · International Conference for Emerging Technology (INCET)
  61. Hybrid Deep Learning for Brain Tumor Detection Using Transfer Learning Models
    T. Boopathy, M. Kavitha · 2025 · International Conference on Next Generation Communication & Information Processing (INCIP)
  62. A review: Machine learning techniques of brain tumor classification and segmentation
    Iliass Zine-dine, Jamal Riffi, Khalid El Fazazy, Ismail El Batteoui, Mohamed Adnane Mahraz, Hamid Tairi · 2025 · Machine Graphics and Vision
  63. From Benchmarks to Bedside: Challenges and Research Gaps in Brain Tumor Segmentation for Clinical Deployment
    Aayush Gupta, Bhavana V · 2025 · International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
  64. A Modified Deep Convolutional Neural Network for Brian Abnormalities Detection
    Aneesh S Perumprath, Raikar Ankit Arun, Vishnu Raj · 2020 · International Journal of Engineering Research and
  65. Application of neural network algorithm for schizophrenia diagnosis
    Jesuloluwa Emmanuel Zaccheus, Obinna Peter Fidelis, Ephraim Okeke Nwoye · 2022 · Nigerian Journal of Technology
  66. MRI Image Based Relatable Pixel Extraction with Image Segmentation for Brain Tumor Cell Detection Using Deep Learning Model
    Rajeshwari Dharavath, K. Shyamala · 2021 · ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY
  67. Union is Strength: Improving face sketch synthesis by fusing outcomes of Fully-Convolutional-Networks and Random Sampling Locality Constraint
    Irfan Azhar, Mudassar Raza, Muhammad Imran Sharif, Seifedine Kadry, Seungmin Rho · 2022 · Alexandria Engineering Journal
  68. A REVIEW ON IMAGE PROCESSING TECHNIQUES FOR BREAST CANCER ANALYSIS
    Iqra Rashid, Javeria Naz · 2021 · Azerbaijan Journal of High Performance Computing
  69. Enhanced Feature Fusion Segmentation for Tumor Detection Using Intelligent Techniques
    R. Radha, R. Gopalakrishnan · 2022 · Intelligent Automation & Soft Computing
  70. Analysis of Deep Learning Techniques for Brain Tumour Classification from CT & MRI Images
    G. Sangeetha, G. Vadivu · 2022 · International Journal on Recent and Innovation Trends in Computing and Communication
  71. Classification of the brain metastases based on a new 3D deep learning architecture
    Yasin Cuşkun, Kaplan Kaplan, Burcu Alparslan, H. Metin Ertunç · 2023 · Soft Computing
  72. A Review on Deep Learning Algorithms for Diagnosis and Classification of Brain Tumor
    Tessy Annie Varghese, J. Roopa Jayasingh · 2023 · Lecture notes in electrical engineering
  73. Measure to Improve the Prediction Accuracy of a Convolutional Neural Network Model for Brain Tumor Detection
    Abhimanu Singh, Smita Jain · 2023 · Lecture notes in networks and systems
  74. COVID-19 Disease Classification Using DL Architectures
    Devashish Joshi, Ruchi Kshatri Patel, Ashutosh Joshi, Deepak Maretha · 2023 · Lecture notes in electrical engineering
  75. CLASSIFICATION OF BRAIN TUMORS ON MRI IMAGES USING DEEP LEARNING ARCHITECTURES
    Samaneh SARFARAZI, Önsen Toygar · 2023 · Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
  76. On the Feasibility of Deep Learning Classification from Raw Signal Data in Radiology, Ultrasonography and Electrophysiology
    Szilárd Enyedi · 2024 · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)
  77. BioSwarmNet: A Revolutionary Approach to Brain Tumour Detection Using Fractional Order Differential Particle Swarm Optimisation and Recurrent Neural Networks
    Indu Gorrepati, Pavan Kumar Pagadala · 2024 · Revue d intelligence artificielle
  78. Deep Learning-Driven Brain Tumor Sectionalisation: Leveraging YOLO11 for MRI Analysis
    Mohammad Ali Khan, Utshob Sutradhar, Paresh Sarkar, Md. Ibrahim Al Imran, Safia Aktar Dipa · 2025 · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
  79. Analysis of Big Data Method and Its Application
    鹏飞 郭 · 2019 · Computer Science and Application
  80. Retracted: A Comparative Analysis of Neurological Disorder: Brain Tumor Segmentation Using Big Data Analytic Techniques
    A. Vidhya, R. Parameswari · 2019 · International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) · Retracted
  81. A Systematic Review of Clustering and Classifier Techniques for Brain Tumor Segmentation in MRI Images
    Veeresh Ashok Mulimani, Sanjeev S. Sannakki, Vijay S. Rajpurohit · 2021 · International Journal of Computer Vision and Image Processing
  82. Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine
    Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi · 2021 · International Journal of Imaging Systems and Technology
  83. A Hybrid Convolutional Neural Network and Deep Belief Network for Brain Tumor Detection in MR Images
    2019 · International Journal of Recent Technology and Engineering (IJRTE)
  84. MRI Brain Tumor Classification and Uncertainty Estimation using Hybrid CNN-ELM Model
    Aadil Rashid Sheergojri, Pervaiz Iqbal · 2022 · International Conference on Smart Electronics and Communication (ICOSEC)
  85. Efficient Brain Tumor Detection Based on Channel Shuffling
    Pei Xian Li, Rong Zhang, Zhongjie Zhu, Zhang Lei, Yongqiang Bai · 2024 · Research Square
  86. Deep Learning for Early Diagnosis of Neurological Disorders
    Rishabha Malviya, Suraj Kumar, Aditya Sushil Solanke, Priyanshi Goyal, Kapil Chauhan · 2025
  87. DEEP LEARNING BASED HYBRID MODELS FOR TUMOR DETECTION FROM BRAIN MR IMAGES
    İclal ÖZCAN, Serkan Öztürk · 2023 · DergiPark (Istanbul University)
  88. Bat Algorithm Aided System to Extract Tumor in Flair/T2 Modality Brain MRI Slices
    V. Sindhu, Murugan Singaravelan, J. Ramadevi, S. Vinitha, S. Hemapriyaa · 2020 · Springer tracts in nature-inspired computing
  89. Stochastic Sampling and Machine Learning Techniques for Social Media State Production
    Neda Hajiakhoond Bidoki · 2020 · Journal of International Crisis and Risk Communication Research
  90. Sobolev gradients for segmentation of vector-valued texture images
    Fahim Ullah, Noor Badshah, Hassan Shah, Asmat Ullah · 2021 · Applied Mathematics and Computation
  91. Detection of Brain Tumor using MRI Based on Machine Learning
    Javaria Amin · 2020
  92. A Review on Brain Glioma Segmentation in MRI images using Deep Learning
    Nurul Nadhirah Md Nasriy · 2020 · International Journal of Advanced Trends in Computer Science and Engineering
  93. Advancement of Deep Learning and Blockchain Technology in Health Informatics
    Anubhav Singh, Mahipal Singh Sankhla, Kapil Parihar, Rajeev Kumar · 2022 · Wiley eBooks
  94. RETRACTED: Brain tumor diagnosis from MRI based on Amended Water Strider Algorithm
    Ming Hu, Yingying Guo, Yu Qi, Jiazhi Cui, Zhuming Cheng, Homayoun Ebrahimian · 2022 · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · Retracted
  95. Z2-γ: An Application of Zienkiewicz-Zhu Error Estimator to Brain Tumor Detection in MR Images
    Antonella Falini · 2022 · Journal of Imaging
  96. Convolutional Neural Network Based on Brain Tumor Identification and Classification
    Bowei Wang · 2022 · Highlights in Science Engineering and Technology
  97. Combining modified hyper learning binary dragonfly algorithm and deep learning for BI‐RADS classification of breast masses in mammograms
    Priyanka Khanna, Mridu Sahu, Bikesh Kumar Singh, Vikrant Bhateja · 2022 · Expert Systems
  98. Recognizing Pigmented Skin Lesion based on LightGBM Classifier and Deep Saliency Segmentation using Convolutional Neural Network
    J. Ramya, H C Vijayalakshmi, Huda Mirza Saifuddin · 2022 · International Journal of Computer Applications
  99. Learning-based wildfire tracking with unmanned aerial vehicles
    Qiong Jia · 2022
  100. A modified CNN model for Brain Tumor Detection
    Jaya Bijaya Arjun Das, Abhishek Das, Archana Sarangi, Debahuti Mishra, Mihir Narayan Mohanty · 2022 · International Conference on Machine Learning, Computer Systems and Security (MLCSS)