Computer-aided diagnosis in medical imaging: historical review, current status and future potential

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Items 601–700 of 1,000

1. An Investigation of Radiologists' Perception of Lesion Similarity
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2. DiSCNet: Directional Split Convolution for compute-efficient brain tumor diagnosis
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3. Identifying Regions of Interest in Medical Images Using Self-Organizing Maps
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4. Image Segmentation Method Based on Statistical Parameters of Homogeneous Data Set
   Oksana Shkurat, Yevgeniya S. Sulema, Viktoriya Suschuk-Sliusarenko, Andrii I. Dychka · 2019 · Advances in intelligent systems and computing
5. Transition of traditional method to deep learning based computer-aided system for breast cancer using Automated Breast Ultrasound System (ABUS) images: a review
   Dayangku Nur Faizah Pengiran Mohamad, Syamsiah Mashohor, Rozi Mahmud, Marsyita Binti Hanafi, Norafida Binti Bahari · 2023 · Artificial Intelligence Review
6. Medical Image Processing for Fully Integrated Subject Specific Whole Brain Mesh Generation
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7. Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening
   Clara I. Sá‎nchez, Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken · 2010 · Lecture notes in computer science
8. Fractal Analysis of Breast Masses in Mammograms
   Thanh M. Cabral, Rangaraj Mandayam Rangayyan · 2012 · Synthesis lectures on biomedical engineering
9. Efficacy of computer aided analysis in detection of significant coronary artery stenosis in cardiac using dual source computed tomography
   Anja Reimann, Ilias Tsiflikas, Harald Brodoefel, Michael Scheuering, Daniel Rinck, Andreas F. Kopp, Claus Detlef Claussen, Martin Heuschmid · 2008 · International journal of cardiac imaging
10. Presentation of Similar Images as a Reference for Distinction Between Benign and Malignant Masses on Mammograms: Analysis of Initial Observer Study
    Chisako Muramatsu, Robert A. Schmidt, Junji Shiraishi, Qiang Li, Kunio Doi · 2010 · Journal of Imaging Informatics in Medicine
11. Interacting with Augmented Reality Mirrors
    Cristina Portalés, Jesús Gimeno, Sergio Casas, Ricardo Olanda, Francisco Giner Martínez · 2016 · Advances in human and social aspects of technology book series
12. Microcalcification morphological descriptors and parenchyma fractal dimension hierarchically interact in breast cancer: A diagnostic perspective
    Garima Verma, Maria Laura Luciani, Alessandro Palombo, Linda Metaxa, Giovanna Panzironi, Federica Pediconi, Alessandro Giuliani, Mariano Bizzarri, Virginia Todde · 2017 · Computers in Biology and Medicine
13. Optimization of computer aided detection systems: An evolutionary approach
    Lia Morra, Nunzia Coccia, Tania Cerquitelli · 2018 · Expert Systems with Applications
14. Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering.
    Yangyang Zhou, Xin Kang, Fuji Ren · 2018 · CLEF (Working Notes)
15. Performance evaluation of machine learning techniques in lung cancer classification from PET/CT images
    K. Punithavathy, Sumathi Poobal, Ramya M M · 2019 · FME Transaction
16. Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection
    Carlos Beltran Perez, Hua‐Liang Wei, Adrian Rubio-Solis · 2019 · Machine Intelligence Research
17. Channel Boosted Convolutional Neural Network for Classification of Mitotic Nuclei using Histopathological Images
    Abdullah Aziz, Anabia Sohail, Labiba Gillani Fahad, Muhammad Burhan, Noorul Wahab, Asifullah Khan · 2020 · International Bhurban Conference on Applied Sciences and Technology (IBCAST)
18. Lung Nodule Detection using Convolutional Neural Networks with Transfer Learning on CT Images
    Jun Alex Gao, Qian Jiang, Bo Zhou, Daozheng Chen · 2020 · Combinatorial Chemistry & High Throughput Screening
19. Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
    Abhishek Shivdeo, Rohit Lokwani, Viraj Kulkarni, Amit T Kharat, Aniruddha Pant · 2021 · International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
20. Development of an automatic detection model using artificial intelligence for the detection of cyst-like radiolucent lesions of the jaws on panoramic radiographs with small training datasets
    Satoshi Tajima, Yoshiyuki Okamoto, Takashi Kobayashi, Maiko Kiwaki, Chikanobu Sonoda, Tomie Kaori, Hiroto Saito, Yoshimi Ishikawa, Shintani Takayoshi · 2022 · Journal of Oral and Maxillofacial Surgery Medicine and Pathology
21. Fully automated region growing segmentation of brain lesion in diffusion-weighted MRI
    Norhashimah Mohd Saad, S. A. R. Abu–Bakar, Sobri Muda, Musa Mohd Mokji, Abdul Rahim Abdullah · 2012 · IAENG international journal of computer science
22. Informatics Methods to Enable Patient-centered Radiology
    Daniel L. Rubin · 2009 · Academic Radiology
23. Computer-aided diagnosis in GI endoscopy: looking into the future
    Cadman L. Leggett, Kenneth K. Wang · 2016 · Gastrointestinal Endoscopy
24. An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning
    Xiaowen Hou, Menglei Hua, Wei Zhang, Jianxin Ji, Xuan Zhang, Huiru Jiang, Mengyun Li, Xiaoxiao Wu, Wenwen Zhao, Shuxin Sun et al. · 2024 · Scientific Data
25. Digital technologies and the democratization of clinical research: Social media, wearables, and artificial intelligence
    Serge Korjian, Charles Michael Gibson · 2022 · Contemporary Clinical Trials
26. Evaluating the Performance of a Commercially Available Artificial Intelligence Algorithm for Automated Detection of Pulmonary Embolism on Contrast-Enhanced Computed Tomography and Computed Tomography Pulmonary Angiography in Patients With Coronavirus Disease 2019
    Karim A. Zaazoue, Mathew R. McCann, Ahmed Ahmed, Isabel O. Cortopassi, Young Erben, Brent P. Little, Justin T. Stowell, Beau Bosko Toskich, Charles A. Ritchie · 2023 · Mayo Clinic Proceedings Innovations Quality & Outcomes
27. Classification of Benign and Malignancy in Lung Cancer Using Capsule Networks with Dynamic Routing Algorithm on Computed Tomography Images
    A. R. Bushara, Vinod Kumar R. S., S. S. Kumar · 2023 · Journal of Artificial Intelligence and Technology
28. Texture and Radiomics inspired Data-Driven Cancerous Lung Nodules Severity Classification
    Himanshu Gupta, Himanshu Singh, Anil Kumar · 2023 · Biomedical Signal Processing and Control
29. Diseases diagnosis based on artificial intelligence and ensemble classification
    Asmaa H. Rabie, Ahmed I. Saleh · 2023 · Artificial Intelligence in Medicine
30. Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging
    Arman Sindhu, Ulhas S. Jadhav, Babaji Ghewade, Jay Dinesh Bhanushali, Pallavi Yadav · 2024 · Cureus
31. Computer-Aided Diagnosis for Preoperative Invasion Depth of Gastric Cancer with Dual-Energy Spectral CT Imaging
    Chao Li, Cen Shi, Huan Zhang, Chun Hui, Kin‐Man Lam, Su Zhang · 2014 · Academic Radiology
32. Topology preserving automatic segmentation of the spinal cord in magnetic resonance images
    Min Chen, Aaron Carass, Jennifer L. Cuzzocreo, Pierre‐Louis Bazin, Daniel S. Reich, Jerry L. Prince · 2011 · IEEE International Symposium on Biomedical Imaging (ISBI)
33. A fully automated level-set based segmentation method of thoracic and lumbar vertebral bodies in Computed Tomography images
    Silvia Ruiz‐España, Antonio Díaz‐Parra, Estanislao Arana, David Moratal · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
34. An adoption model describing clinician’s acceptance of automated diagnostic system for tuberculosis
    Rani Oomman Panicker, Biju Soman, K. V. Gangadharan, N. V. Sobhana · 2016 · Health and Technology
35. Segmentation of nuclei in digital pathology images
    Peifang Guo, Alan Charles Evans, Prabir Bhattacharya · 2016 · IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
36. Application of Fuzzy Logic in Oral Cancer Risk Assessment.
    Ioana Scrobotă, Grigore Băciuț, Gabriela Adriana Filip, Bianca Ioana Todor, Florin Blaga, Mihaela Felicia Băciuț · 2017 · Europe PMC (PubMed Central)
37. Classification of Breast Density Patterns Using PNN, NFC, and SVM Classifiers
    Indrajeet Kumar, Jitendra Virmani, H.S. Bhadauria, Manoj Kumar Panda, N.A. Kriti · 2018 · Elsevier eBooks
38. SIFT based ROI extraction for lumbar disk herniation CAD system from MRI axial scans
    Mahmoud Al‐Ayyoub, Nusaiba Al-Mnayyis, Mohammad A. Alsmirat, Khaled Zayed Ali Alawneh, Yaser Jararweh, Brij Bhooshan Gupta · 2018 · Journal of Ambient Intelligence and Humanized Computing
39. A REVIEW ON BIOMEDICAL IMAGE ANALYSIS
    S Renukalatha, Kaggere V. Suresh · 2018 · Biomedical Engineering Applications Basis and Communications
40. Improvement of prostate cancer detection combining a computer-aided diagnostic system with TRUS-MRI targeted biopsy
    Riccardo Campa, Maurizio Del Monte, Giovanni Barchetti, Martina Pecoraro, Vincenzo Salvo, Isabella Ceravolo, Elena Lucia Indino, Antonio Ciardi, Carlo Catalano, Valeria Panebianco · 2018 · Abdominal Radiology
41. Computer Aided Diagnosis of Idiopathic Central Serous Chorioretinopathy
    Bilal Hassan, Ramsha Ahmed, Bo Li · 2018 · IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
42. A visco-hyperelastic constitutive model of short- and long-term viscous effects on isotropic soft tissues
    Zahra Matin Ghahfarokhi, Mahdi Moghimi Zand, Mehdi Salmani-Tehrani, Brianna Regina Wendland, Roozbeh Dargazany · 2019 · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
43. Computer-aided diagnosis in rheumatic diseases using ultrasound: an overview
    Josefina Gutiérrez-Martínez, Carlos Pineda, Hugo Sandoval, Araceli Bernal-González · 2019 · Clinical Rheumatology
44. Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers
    Ryoungwoo Jang, Namkug Kim, Miso Jang, Kyung Hwa Lee, Sang Min Lee, Kyung Hee Lee, Han Na Noh, Joon Beom Seo · 2020 · JMIR Medical Informatics
45. A Drive Through Computer-Aided Diagnosis of Breast Cancer: A Comprehensive Study of Clinical and Technical Aspects
    Parita Oza, Paawan Sharma, Samir Patel · 2022 · Lecture notes in electrical engineering
46. An Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation
    Liming Wu, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
47. Detection and Severity Scoring of Chronic Obstructive Pulmonary Disease Using Volumetric Analysis of Lung CT Images
    Mohammad Parsa Hosseini, Hamid Soltanian-zadeh A, Shahram Akhlaghpoor · 2012 · Iranian Journal of Radiology
48. Potential Usefulness of Similar Images in the Differential Diagnosis of Clustered Microcalcifications on Mammograms
    Ryohei Nakayama, Hiroyuki Abé, Junji Shiraishi, Kunio Doi · 2009 · Radiology
49. Questioning context: a set of interdisciplinary questions for investigating contextual factors affecting health decision making
    Andrea Charise, Holly O. Witteman, Sarah Whyte, Erica J. Sutton, Jacqueline L. Bender, Michael Massimi, Lindsay Stephens, Joshua Evans, Carmen H. Logie, Raza M. Mirza et al. · 2010 · Health Expectations
50. Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing
    Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Mary Egan, Susan M. Resnick, Lori L. Beason‐Held, Bennett A. Landman, Thomas A. Lasko · 2018 · IEEE Journal of Biomedical and Health Informatics
51. Automatic detection of the meningioma tumor firmness in MRI images
    Atheer Alkubeyyer, Mohamed Maher Ben Ismail, Ouiem Bchir, Metab Alkubeyyer · 2020 · Journal of X-Ray Science and Technology
52. A rough set based data model for breast cancer mammographic mass diagnostics
    Aaron Don M. Africa, Melvin K. Cabatuan · 2015 · International Journal of Biomedical Engineering and Technology
53. Deep Learning-Based Disk Herniation Computer Aided Diagnosis System From MRI Axial Scans
    Mohammad A. Alsmirat, Nusaiba Al-Mnayyis, Mahmoud Al‐Ayyoub, Asma’a Al-Mnayyis · 2022 · IEEE Access
54. Self-supervised learning for multi-center magnetic resonance imaging harmonization without traveling phantoms
    Xiao Chang, Xin Cai, Yibo Dan, Yang Sup Song, Qing Lu, Guang Yang, Shengdong Nie · 2022 · Physics in Medicine and Biology
55. Classification of Cataract Disease with a DenseNet201 Based Deep Learning Model
    Halıt Çetıner, İbrahim ÇETİNER · 2022 · Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
56. Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy
    Jeewoo Yoon, Jinyoung Han, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Daniel Duck-Jin Hwang · 2023 · Journal of Medical Internet Research
57. AUCReshaping: improved sensitivity at high-specificity
    Sheethal Bhat, Awais Mansoor, Bogdan Georgescu, Adarsh Bhandary Panambur, Florin C. Ghesu, Saahil Islam, Kai Packhäuser, Dalia Rodríguez-Salas, Saša Grbić, Andreas Maier · 2023 · Scientific Reports
58. I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
    Trong-Thang Pham, Jacob Brecheisen, Anh Nguyen, Hien Nguyen, Ngan Le · 2024 · IEEE Winter Conference on Applications of Computer Vision
59. A systematic comparison of deep learning methods for Gleason grading and scoring
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60. Vision transformer for efficient chest x-ray and gastrointestinal image classification
    Smriti Regmi, Aliza Subedi, Nikhil Kumar Tomar, Ulaş Bağcı, Debesh Jha · 2025 · SPIE Medical Imaging: Computer-Aided Diagnosis
61. An approach for chest tube detection in chest radiographs
    Cem Ahmet Mercan, M. Serdar Çelebi · 2014 · IET Image Processing
62. Current Status and Future Potential of Neural Networks Used for Medical Image Processing
    Zhenghao Shi, Lifeng He · 2011 · Journal of Multimedia
63. A similarity-based data warehousing environment for medical images
    Jefferson William Teixeira, Luana Peixoto Annibal, Joaquim Cezar Felipe, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri · 2015 · Computers in Biology and Medicine
64. Computer-aided endovascular aortic repair using fully automated two- and three-dimensional fusion imaging
    Giuseppe Panuccio, Giovanni Federico Torsello, Markus Pfister, Theodosios Bisdas, Michel Joseph Bosiers, Giovanni Battista Torsello, Martin Josef Austermann · 2016 · Journal of Vascular Surgery
65. Can Computers Outperform Humans in Detecting User Zone-Outs? Implications for Intelligent Interfaces
    Nigel Bosch, Sidney K. D'Mello · 2022 · ACM Trans. Comput. Hum. Interact.
66. BP-CapsNet: An image-based Deep Learning method for medical diagnosis
    Yongjia Lei, Zujian Wu, Zhiying Li, Yuer Yang, Zhongming Liang · 2023 · Applied Soft Computing
67. Integrating adaptive neuro-fuzzy inference system and local binary pattern operator for robust retinal blood vessels segmentation
    Abdolhossein Fathi, Ahmad Reza Naghsh‐Nilchi · 2012 · Neural Computing and Applications
68. Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT
    Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers · 2014 · Medical Image Analysis
69. Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation
    Shaolong Shi, Yifan Chen, Xin Yao, Mengjie Zhang · 2019 · IEEE Congress on Evolutionary Computation (CEC)
70. A Risk Assessment Framework Proposal Based on Bow-Tie Analysis for Medical Image Diagnosis Sharing within Telemedicine
    Thiago Poleto, Maísa Mendonça Silva, Thárcylla Rebecca Negreiros Clemente, Ana Paula Henriques de Gusmão, Ana Paula de Araújo, Ana Paula Cabral Seixas Costa · 2021 · Sensors
71. Biomedical Imaging Informatics
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72. Computer aided diagnosis of prostate cancer: A texton based approach
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73. Degenerative disc disease diagnosis from lumbar MR images using hybrid features
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74. Estado da arte da Inteligência Artifical (IA) na radiologia odontológica: revisão sistemática
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75. Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study
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76. Investigation of Early-Stage Breast Cancer Detection using Quantum Neural Network
    Musaddiq Al Ali, Amjad Sahib, Musaddiq Abdil Khaliq Maleh Al Ali · 2023 · International Journal of Online and Biomedical Engineering (iJOE)
77. Development of ResNet152 UNet++-Based Segmentation Algorithm for the Tympanic Membrane and Affected Areas
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78. Development and validation of a deep-broad ensemble model for early detection of Alzheimer's disease
    Peixian Ma, Jing Wang, Zhiguo Zhou, C. L. Philip Chen, The Alzheimer's Disease Neuroimaging Initiative, Junwei Duan · 2023 · Frontiers in Neuroscience
79. A novel hybrid deep learning framework based on biplanar X-ray radiography images for bone density prediction and classification
    Kun Zhou, Yuqi Zhu, Xiao Luo, Shan Yang, Enhui Xin, Yanwei Zeng, Junyan Fu, Zhuoying Ruan, Rong Wang, Liqin Yang et al. · 2025 · Osteoporosis International
80. Fractal analysis of contours of breast masses in mammograms via the power spectra of their signatures
    Rangaraj Mandayam Rangayyan, Faraz Oloumi, T M Nguyen · 2010 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
81. Dual Energy Subtraction Digital Radiography Improves Performance of a Next Generation Computer-aided Detection Program
    Jason D. Balkman, Sonali Mehandru, Elena DuPont, Ronald D. Novak, Robert Gilkeson · 2010 · Journal of Thoracic Imaging
82. Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification
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83. Computer-aided simple triage
    Roman Goldenberg, Nathan Peled · 2011 · International Journal of Computer Assisted Radiology and Surgery
84. Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images
    Chiharu Kai, Yoshikazu Uchiyama, Junji Shiraishi, Hiroshi Fujita, Kunio Doi · 2018 · Radiological Physics and Technology
85. Using content‐based image retrieval of dermoscopic images for interpretation and education: A pilot study
    Mahya Sadeghi, Parmit K. Chilana, Jordan Yap, Philipp Tschandl, M. Stella Atkins · 2019 · Skin Research and Technology
86. Histopathologist-level quantification of Ki-67 immunoexpression in gastroenteropancreatic neuroendocrine tumors using semiautomated method
    Heba Saadeh, Niveen I. Abdullah, Madiha Erashdi, Maher A. Sughayer, Omar S. Al-Kadi · 2019 · Journal of medical imaging
87. Differentiation of thyroid nodules on US using features learned and extracted from various convolutional neural networks
    Eunjung Lee, Heonkyu Ha, Hye Jung Kim, Hee Jung Moon, Jung Hee Byon, Sun Huh, Jinwoo Son, Jiyoung Yoon, Kyunghwa Han, Jin Young Kwak · 2019 · Scientific Reports
88. A novel fuzzy expert system design to assist with peptic ulcer disease diagnosis
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89. Semi-automated technique to assess the developmental stage of mandibular third molars for age estimation
    Witsarut Upalananda, Kittichai Wantanajittikul, Sakarat Nalampang, Apirum Janhom · 2021 · Australian Journal of Forensic Sciences
90. Classifier Ensemble Based on Computed Tomography Attenuation Patterns for Computer-Aided Detection System
    Fernando Roberto Pereira, João Mário Clementin de Andrade, Dante Luiz Escuissato, Lucas Ferrari de Oliveira · 2021 · IEEE Access
91. What Are Machine and Deep Learning?
    Issam El Naqa, Martin J. Murphy · 2022 · Springer eBooks
92. EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer
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93. Barriers to artificial intelligence implementation in radiology practice: What the radiologist needs to know
    Anirudh Nair, S. Ramanathan, Paul Sathiadoss, Ankush Jajodia, David Blair Macdonald · 2022 · Radiología (English Edition)
94. Deep Learning-assisted Retinopathy of Prematurity (ROP) Screening
    Vijay Kumar, Het Patel, Kolin Paul, Shorya Vardhan Azad · 2023 · ACM Transactions on Computing for Healthcare
95. Automatic spinal canal detection in lumbar MR images in the sagittal view using dynamic programming
    Jaehan Koh, Vipin Chaudhary, Eun Kyung Jeon, Gurmeet S. Dhillon · 2014 · Computerized Medical Imaging and Graphics
96. Content-based image retrieval in radiology: analysis of variability in human perception of similarity
    Jessica Faruque, Christopher F. Beaulieu, Jarrett Rosenberg, Daniel L. Rubin, Dorcas C. Yao, Sandy A. Napel · 2015 · Journal of medical imaging
97. Computer-aided assessment of diagnostic images for epidemiological research
    Alison G. Abraham, Donald D. Duncan, Stephen J. Gange, Sheila K. West · 2009 · BMC Medical Research Methodology
98. Segmentation of pectoral muscle using the adaptive gamma corrections
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99. Contralateral asymmetry for breast cancer detection: A CADx approach
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100. Detection and Classification of Overlapping Cell Nuclei in Cytology Effusion Images Using a Double-Strategy Random Forest
     Khin Yadanar Win, Somsak Choomchuay, Kazuhiko Hamamoto, Manasanan Raveesunthornkiat · 2018 · Applied Sciences