Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

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Items 601–700 of 746

1. Data Science is all Set to Revolutionize the Ultrasound Diagnosis in Medical Health Care
   Mohammed Jawwad Ali Junaid, Rajeev Kumar · 2020 · International Conference on Computation, Automation and Knowledge Management (ICCAKM)
2. [Medical computer-aided detection method based on deep learning].
   Pan Tao, Zhongliang Fu, Kai Zhu, Lili Wang · 2018 · PubMed Central
3. Quantification of left ventricular function in MRI: a review of current approaches
   Wafa Baccouch, Sameh Oueslati, Salam Labidi, Basel Solaiman · 2020 · International Conference on Advanced Technologies for Signal and Image Processing
4. Augmented Intelligence: Deep Learning Models for Healthcare
   M. Paranthaman, S. Palanivel Rajan · 2022 · Studies in computational intelligence
5. The Rise of Deep Learning in Radiology: An Overview of Recent Research
   Deya Chatterjee · 2019 · International Journal for Research in Applied Science and Engineering Technology
6. COVID-19 Pandemic: How Artificial Intelligence can help us / COVID-19 Pandemia: Como a Inteligência Artificial pode nos ajudar
   Oswaldo Jesus Rodrigues da Motta, Gabriel Resende Machado, Andréia Patrícia Gomes, Elen Nas, Eugênio Silva, Ronaldo Ribeiro Goldschmidt, Rodrigo Siqueira‐Batista · 2020 · Brazilian Applied Science Review
7. Pneumonia Detection Algorithm Based on Improved YOLOv3
   Hailong Liu, Jinrong Cui, Chaoda Peng · 2022 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
8. Deep Learning and Medical Imaging
   Nourhan Mohamed Zayed, Heba Ahmed Elnemr · 2022 · IGI Global eBooks
9. A Short Review on the Role of Various Deep Learning Techniques for Segmenting and Classifying Brain Tumours from MRI Images
   Kumari Kavitha. D, E. Kiran Kumar · 2022 · International Journal of Advanced Computer Science and Applications
10. Boosting Ultrasonic Image Classification via Self-Supervised Representation Learning
    Yajie Hou, Qingbing Sang · 2023 · International Conference on Computer, Control and Robotics (ICCCR)
11. Evaluation of pathologically confirmed benign inflammatory breast diseases using artificial intelligence on ultrasound images
    İrmak Durur-Subasi, Abdülkadir Eren, Fatma Zeynep Güngören, Pelin Basım, Fazlı Cem Gezen, Aslı Çakır, Cengiz Erol, İlker Özgür Koska · 2023 · Revista de Senología y Patología Mamaria
12. Automatic Breast Lesion Segmentation Using Continuous Max-Flow Algorithm in Phase Preserved DCE-MRIs
    Dinesh Babu Pandey, Hua Wang, Xiaoxia Yin, Kate Wang, Yanchun Zhang, Jing Shen · 2021 · Lecture notes in computer science
13. Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray
    Jianjia Zhang · 2020 · arXiv (Cornell University)
14. Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks
    Elham Yousef Kalafi, Ata Jodeiri, Seyed Kamaledin Setarehdan, Wei Lin Ng, Kartini Binti Rahman, Nur Aishah Mohd Taib, Sarinder Kaur Dhillon · 2021 · arXiv (Cornell University)
15. Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units
    Woo-Jeoung Nam, Seong–Whan Lee · 2021 · arXiv (Cornell University)
16. Introduction to Deep Learning in Health Informatics
    Monika Jyotiyana, Nishtha Kesswani · 2021 · Wiley eBooks
17. A benchmarking of deep neural network models for cancer subtyping using single point mutations
    Pouria Parhami, Mansoor Fateh, Mohsen Rezvani, Hamid Alinejad‐Rokny · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
18. Swift Diagnose: A High-Performance Shallow Convolutional Neural Network for Rapid and Reliable SARS-COV-2 Induced Pneumonia Detection
    Dutta, Koustav, Lenka, Rasmita, Gupta, Priya, Goel, Aarti, Naga Ramesh, Janjhyam Venkata · 2024 · EAI Endorsed Transactions on Pervasive Health and Technology
19. Medical Image Diagnosis with Deep Learning on FPGA Platform
    Kuo-Kun Tseng, Ran Zhang, Lantian Wang · 2019 · Advances in intelligent systems and computing
20. Exploring Heterogeneous Data Processing to Improve Clinical Applications
    Rodrigo Freiberger Rönnau, Sandro José Rigo, Marta Rosecler Bez, Jorge Luís Victória Barbosa · 2020
21. Multi‐level deep learning based lung cancer classifier for classification based on tumour‐node‐metastasis approach
    Swati P. Pawar, Sanjay Nilkanth Talbar · 2022 · International Journal of Imaging Systems and Technology
22. Breast cancer classification based on hybrid machine learning model
    Zhe Lin · 2024 · Applied and Computational Engineering
23. Applications of AI and Deep Learning in Biomedicine and Healthcare
    Rakesh Mohan Pujahari, Rijwan Khan, Satya Prakash Yadav · 2024 · Advances in bioinformatics and biomedical engineering book series
24. AI: A Use Case for Global Health
    Divya Srivastava · 2024 · LSE Public Policy Review
25. TinyCov-NET: Efficient and robust COVID-19 pneumonia diagnosis using a stacked shallow convolutional neural network
    Rasmita Lenka, Sweeti Sah, Shweta Sharma, Sachi Nandan Mohanty · 2024 · Health and Technology
26. An Automated Early Lung Cancer Detection Using Convolution Neural Network
    Santosh Kumar Satapathy, Manan Gandhi, Vanshita Patel, Jui Mehta, Devam Patel, Rishi Joshi · 2025 · Lecture notes in networks and systems
27. A Hybrid Medical Image Semantic Segmentation Network Based on Novel Mamba and Transformer
    Jianting Shi, Huanhuan Liu, Zhijun Li · 2025 · IET Image Processing
28. Enhancing Lung Cancer Screening by Analysing Clinically Symptoms Using Machine Learning
    Sonam Khattar, B Vivek Gowd, Tushar Verma, Bhuvan Batra, Priyanshu Kumar · 2025 · IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)
29. Ultrasound in medicine from 2014 to 2024: A bibliometric review
    Zhao Chenhao, Zhou Ruqi, Sun Xiaozhuo, Wang Jiabo, Liu Jiao, Mu Yajuan · 2026 · Medicine
30. A Benchmark Dataset of Endoscopic Images and a Novel Deep Learning Method to Segment Gastric Intestinal Metaplasia Under Linked Color Imaging
    Mingya Zhang, Liang Wang, Yue Yu, Ling Liu, Xianping Tao, Limei Gu, Tingsheng Ling · 2026 · Computational Intelligence
31. Empowering healthcare 5.0 with deep learning: techniques, trends, and future directions
    Paramita Kundu Maji, Sanjay Chakraborty, Afifa Sadiq, Saikat Basu, Krishnendu Ghosh · 2026 · Artificial Intelligence Review
32. An Effective Feature Extraction Based Particle Swarm Optimization with Support Vector Machine for Biomedical Mammogram Image Diagnosis
    T. Sathya Priya, T. Ramaprabha · 2020 · International Conference on Inventive Computation Technologies (ICICT)
33. Binary Clustering for Deep Network Trained by Feature Growth
    Xiaqing Yang, Jun Shi, Chen Wang, Yuanyuan Zhou, Zenan Zhou, Tingjun Chen, Shunjun Wei, Xiaoling Zhang · 2020 · IEEE Access
34. A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE
    Corina Maria Vasile, Ștefan Udriștoiu, Alice Elena Ghenea, Anca Marilena Ungureanu, Cristian Gheonea, Carmen-Elena NICULESCU, Mirela Anişoara Siminel, Ștefan Udriștoiu, Oana Iana, Ramona Cioboată et al. · 2021 · Research and Science Today Supplement
35. Transfer learning-based method for detection of COVID-19 using X-Ray Images
    Abdul Rehman, Zain Tariq, Sana Ullah Jan, Sumair Aziz, Muhammad Umar Khan, Hassan Nazeer Chaudry · 2021 · International Conference on Robotics and Automation in Industry (ICRAI)
36. A Traditional Machine Learning Approach for COVID-19 Detection from CT Images
    Sultanul Kabir, Emad Ahmed Mohammed, Khobaib Zaamout, Salama Ikki · 2021 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
37. Fully Automatic Epiretinal Membrane Segmentation in OCT Scans Using Convolutional Networks
    Mateo Gende, Joaquim de Moura, Jorge Novo, Marcos Ortega · 2022 · Advances in medical diagnosis, treatment, and care (AMDTC) book series
38. [Long short-term memory and Logistic regression for mortality risk prediction of intensive care unit patients with stroke].
    Y H Deng, Ying Lan Jiang, Z Y Wang, Shaoyu Liu, Y X Wang, B H Liu · 2022 · PubMed Central
39. The future of health diagnosis and treatment: an exploration of deep learning frameworks and innovative applications
    Imran Zafar, Syed Umair Ahmad, Mohd Ashraf Rather, Azmat Ali Khan, Qurat Ul Ain, Arfa Safder, Sheikh Arslan Sehgal · 2023 · Elsevier eBooks
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    Bendi Venkata Ramana, K. Kavitha, Garlapati Narayana, Reventh Raj, Naresh Tangudu, B. Manideep · 2023 · Journal Of Advanced Zoology
41. Deep Learning—Prediction
    Chris Al Gerges, Melle B. Vessies, Rutger R van de Leur, René van Es · 2023 · Springer eBooks
42. Automated Staging of Diabetic Retinopathy Using Convolutional Support Vector Machine (CSVM) Based on Fundus Image Data
    Dian Candra Rini Novitasari, Fatmawati Fatmawati, Rimuljo Hendradi, Rinda Nariswari, Rizal Amegia Saputra · 2023 · JOIV International Journal on Informatics Visualization
43. RETRACTED: A combined deep CNN with a chimp optimization approach for lung cancer diagnosis
    J. Sathiya Jothi, M. Chinnadurai · 2024 · Journal of Intelligent & Fuzzy Systems · Retracted
44. MRI Lumbar Spine Semantic Segmentation Using YOLOv8
    Fabio Oliveira, Luiz Alberto Pinto, Gustavo Maia de Almeida, Daniel Cruz Cavalieri · 2023 · Congresso Brasileiro de Inteligência Computacional (CBIC)
45. Dense-UNet with Network-Based Transfer Learning for Left Ventricular Wall Segmentation
    Didik Bani Unggul, Nur Iriawan, Heri Kuswanto · 2023 · International Conference on Information Technology and Digital Applications (ICITDA)
46. Clinical Informatics System to Understand Lung Cancer Using Transfer Learning-Based Computer Aided Application-I
    Atif Mehmood, Ahed Abugabah, Farah Shahid · 2023 · International Conference on Technology, Engineering, and Computing Applications (ICTECA)
47. Lung Cancer Detection Using Hybrid Methods of Otsu-Based PSO Algorithm Combined with ACO Algorithm
    M. Sucharitha, Sunitha Tappari, B. Jyothi, Arunkumar Madupu · 2024 · Lecture notes in networks and systems
48. Classification and Detection of Breast Cancer Review
    Azhar Kassem Flayeh, Ali Douik, Salam A. Thajeal · 2024 · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
49. The ideal PGGAN for the 3D medical data Segmenting
    Nabila Elloumi, Hassene Seddik · 2024 · International Conference on Advanced Technologies for Signal and Image Processing
50. Challenges in Accurately Using Artificial Intelligence and Machine Learning in Biomedical Imaging
    Mayuri Sharma, Bidisha Goswami, Nabajyoti Goswami, Saurov Mahanta, Yumnam Jayanta Singh · 2024 · Biological and medical physics, biomedical engineering
51. Deep learning architectures in computer vision based medical imaging applications with emerging challenges
    Sumit Kumar, Shallu Sharma · 2024 · Elsevier eBooks
52. HMM-VMamba: High-Order Morphological Method Vision Mamba for Medical Image Segmentation
    Yifeng Yao, Bei He, Minsheng Tan, Li Xiang, Zhenzhen Hu, Xingxing Duan, Lingna Chen · 2024 · Lecture notes in computer science
53. Detection and Characterization of Subsolid Juxta-pleural Lung Nodule from CT Images
    Nejla Jbeli, Rekka Mastouri, H. Néji, Saoussen Hantous-Zannad, Nawrès Khlifa · 2018 · International Conference on Control, Decision and Information Technologies (CoDIT)
54. From Identifying Dog Breeds to Diagnosing Diabetic Retinopathy
    Shafaz Veettil, Logan Van Nynatten · 2019 · University of Western Ontario Medical Journal
55. Application of Artificial Intelligence in Breast Medical Imaging Diagnosis
    2020 · American Journal of Cancer Research and Reviews
56. Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder
    Peng Yang, Qiong Yang, Zhen Wei, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei · 2020 · Lecture notes in computer science
57. Imagerie médicale computationnelle (radiomique) : principes et potentiel en onco-pneumologie
    Roger Sun, Éric Deutsch · 2020 · Revue des Maladies Respiratoires Actualités
58. Research on Computer Aided Diagnosis System for Neurocritical and Critical Diseases
    Dan Zhang, Xiaobo Li · 2021 · International Conference on Communication and Electronics Systems (ICCES)
59. APPLICATION OF DEEP LEARNING IN HEALTH INFORMATICS: A REVIEW
    Vinit Mehta, Noopur Shrivastava · 2021 · International Journal of Technical Research & Science
60. Early Prediction of COVID-19 Using Modified Convolutional Neural Networks
    Asadi Srinivasulu, Tarkeshwar Barua, Umesh Neelakantan, Srinivas Nowduri · 2022 · Advanced technologies and societal change
61. Investigating generalization in automatic COVID-19 detection using deep learning
    Rahhal Errattahi, Salmam Fatima Zahra, Asmaa El Hannani, Abdelhak Aqqal, Hassan Ouahmane, Sadik Mohamed, Yassin El Hillali · 2022 · International Symposium on Signal, Image, Video and Communications (ISIVC)
62. A Survey on DL Based Frameworks for COVID-19 Radiological Diagnosis
    J. Kishan, G. Kalaichelvi, R. Surendiran, Bhadru Amgothu · 2022 · IFIP advances in information and communication technology
63. Design of A Continuum Robot System with Object Detection for the Diagnosis of Vocal Fold Lesions
    Fan Feng, Zefeng Liu, Yongfeng Cao, Le Xie · 2022 · IEEE International Conference on Real-time Computing and Robotics (RCAR)
64. Detection and Classification of Breast Lesions Using Ultrasound-Based Imaging Modalities
    Md. Kamrul Hasan, Sharmin Ara · 2018 · Elsevier eBooks
65. Deep Learning Based Pectoral Muscle Segmentation on MIAS Mammograms
    Young Jae Kim, Eun Young Yoo, Kwang Gi Kim · 2020
66. Deep learning motion estimation in ultrasound imaging : Application to myocardial deformation quantification
    Ewan Evain · 2022 · theses.fr (ABES)
67. Artificial neural networks applications in computer aided diagnosis
    Jorge Hernández‐Rodríguez, María José Rodríguez Conde, Francisco Javier Cabrero Fraile · 2016 · Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)
68. What Do George Clooney and Sarah Jessica Parker Have in Common? Big-data
    Toshimasa J. Clark, Rebecca J. Mieloszyk, Puneet Bhargava · 2017 · Current Problems in Diagnostic Radiology
69. Log Data Visualization and Analysis for Supporting Medical Image Diagnosis
    Tsuneo Kagawa, Shuichi Tanoue, Hiroaki Nishino · 2017 · Advances in intelligent systems and computing
70. Extraction Technique of Spicules-Based Features for the Classification of Pulmonary Nodules on Computed Tomography
    Xingyi He, Jing Gong, Lijia Wang, Shengdong Nie · 2017 · Communications in computer and information science
71. Automated Leukocyte Differential Count System Using Dual-Stage Convolutional Neural Network
    최진우 · 2017
72. Image processing methods for computer-aided screening for disease
    Juan José Gómez Valverde · 2018
73. Automated detection of interictal epileptiform discharges in scalp electroencephalogram of patients with epilepsy
    Elham Bagheri · 2019
74. Kunstmatige intelligentie in de radiologie
    Maarten van de Weijer, Merel Huisman, Erik R. Ranschaert, Paul R. Algra · 2019 · Bohn Stafleu van Loghum eBooks
75. Synthetic Image Generation for Gastritis Detection Based on Auxiliary Classifier Generative Adversarial Network
    Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama · 2019 · IEEE International Symposium on Circuits and Systems proceedings
76. Deep Learning Based Pain Treatment
    Tarun Jaiswal, Sushma Jaiswal · 2019 · International Journal of Trend in Scientific Research and Development
77. Lung Nodule: Imaging Features and Evaluation in the Age of Machine Learning
    Mohamed Sayyouh, Lubomir Hadjiiyski, Heang‐Ping Chan, Prachi Agarwal · 2019 · Current Pulmonology Reports
78. Segmentation and classification of lung nodules from Thoracic CT scans : methods based on dictionary learning and deep convolutional neural networks.
    Mohammad Mehdi Farhangi · 2019
79. Hamilton County Courthouse, detail
    Dreanna L. Belden · 2006
80. A Novel Computer-aided Breast Cancer detection method based on Convolutional neural network
    Xinkai Cai · 2020 · International Symposium on the Frontiers of Biotechnology and Bioengineering (FBB)
81. Semi-supervised Learning in Computer-aided Diagnosis
    Yanjun Li · 2021 · International Conference on Consumer Electronics and Computer Engineering (ICCECE)
82. A machine learning approach for the feature extraction of pulmonary nodules
    Cecilia-Irene Loeza-Mejía, Rajesh Roshan Biswal, Gregorio Fernández-Lambert · 2021 · Artificial Intelligence for Science, Industry and Society (AISIS)
83. Ultrasound and artificial intelligence
    Brian A. Telfer, Viksit Kumar, Aaron D. Aguirre, Anthony E. Samir, Laura J. Brattain · 2021 · Elsevier eBooks
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    Megha Atul Patil, Saugata Sinha, Nikhil Dhengre, Bhargava Kumar Chinni, Vikram Singh Dogra, Navalgund A. H. K. Rao · 2021 · Communications in computer and information science
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    Liu, Yiming, Ying Chen, Guangming Pan, Weichung Wang, Wei‐Chih Liao, Yee Liang Thian, Cheng Ean Chee, Constantinos P. Anastassiades · 2021 · arXiv (Cornell University)
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    2021 · PeerJ Computer Science
87. Ferramenta para diagnóstico de doenças em citros baseada na combinação de técnicas de espectroscopia de fluorescência somada a algoritmos de aprendizagem de máquina
    Ruan Felipe de Oliveira Neves · 2021
88. Peer Review #2 of "Descriptive analysis of dental X-ray images using various practical methods: A review (v0.1)"
    2021 · PeerJ Computer Science
89. Thoracic Image Analysis Using Deep Learning
    Rakhi D. Wajgi, Jitendra Vikram Tembhurne, Dipak W. Wajgi · 2021 · Wiley eBooks
90. Peer Review #1 of "Descriptive analysis of dental X-ray images using various practical methods: A review (v0.2)"
    2021 · PeerJ Computer Science
91. Peer Review #3 of "Descriptive analysis of dental X-ray images using various practical methods: A review (v0.1)"
    2021 · PeerJ Computer Science
92. Peer Review #1 of "Descriptive analysis of dental X-ray images using various practical methods: A review (v0.1)"
    2021 · PeerJ Computer Science
93. Peer Review #3 of "Descriptive analysis of dental X-ray images using various practical methods: A review (v0.2)"
    2021 · PeerJ Computer Science
94. Classification network of COVID-19 based on multi-modality fusion network
    Zhiyu Zhan, Yuanfeng Qin, Pengyuan Du, Haonan Ma, Xiaotong Zhang, Yifan Tang, Sitao Lv, Qiuyi Li, Shixiao Li, Pengfei Bai et al. · 2021
95. Computational Intelligence Methods for Predicting Cancer Susceptibility from SNP Data
    Saanya Yadav, Yasha Hasija · 2022 · Studies in computational intelligence
96. Highlights of the 2017 Environmental Scan
    2017 · Journal of Nursing Regulation
97. Image Analyses
    Ziyue Xu, Georgios Z. Papadakis, Daniel J. Mollura, Ulaş Bağcı · 2017 · Springer eBooks
98. References
    National Council of State Boards of Nursing · 2017 · Journal of Nursing Regulation
99. Market for Artificial Intelligence in Health Care and Compensation for Medical Errors
    Olivier Musy, Bertrand Chopard · 2022 · SSRN Electronic Journal
100. Classification of pneumonic infections through chest radiography using textural features analysis and the pattern recognition system
     Rajat Mehrotra, M.A. Ansari, Rajeev K. Agrawal · 2022 · Elsevier eBooks