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

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1. A Framework for Interpretability in Machine Learning for Medical Imaging
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2. X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid
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3. MITT: Medical Image Tracking Toolbox
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5. Radiomics Prediction of EGFR Status in Lung Cancer—Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data
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6. Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning
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7. CAD (computed-aided detection) and CADx (computer aided diagnosis) systems in identifying and characterising lung nodules on chest CT: overview of research, developments and new prospects
   Francesco Fraioli, Goffredo Serra, Roberto Passariello · 2010 · La radiologia medica
8. A marker-based watershed method for X-ray image segmentation
   Xiaodong Zhang, Fucang Jia, Suhuai Luo, Guiying Liu, Qingmao Hu · 2014 · Computer Methods and Programs in Biomedicine
9. Ultra-low-dose CT lung screening with artificial intelligence iterative reconstruction: evaluation via automatic nodule-detection software
   Lidong Yang, H. Liu, Jiajun Han, Shijie Xu, G. Zhang, Qi Wang, Yihui Du, Fan Yang, Xiaomei Zhao, Gaofeng Shi · 2023 · Clinical Radiology
10. Unsupervised Domain Adaptation for Medical Image Segmentation Using Transformer With Meta Attention
    Wen Ji, Albert C. S. Chung · 2023 · IEEE Transactions on Medical Imaging
11. Enhanced gastric cancer classification and quantification interpretable framework using digital histopathology images
    Muhammad Zubair, Muhammad Owais, Tahir Mahmood, Saeed Iqbal, Syed Muhammad Usman, Irfan Hussain · 2024 · Scientific Reports
12. Analysis of Structural Similarity in Mammograms for Detection of Bilateral Asymmetry
    Paola Casti, Arianna Mencattini, Marcello Salmeri, Rangaraj Mandayam Rangayyan · 2014 · IEEE Transactions on Medical Imaging
13. Toward Noninvasive Characterization of Breast Cancer and Cancer Metabolism with Diffuse Optics
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14. Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer
    Jayasree Chakraborty, Rangaraj Mandayam Rangayyan, Shantanu Banik, Sudipta Mukhopadhyay, J. E. Leo Desautels · 2012 · Journal of Electronic Imaging
15. Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients
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16. Fully automated computer-aided diagnosis system for micro calcifications cancer based on improved mammographic image techniques
    Mai Said Mabrouk, Heba M. Afify, Samir Youssef Marzouk · 2019 · Ain Shams Engineering Journal
17. Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides
    Hui Yan Qu, Carlos D. Minacapelli, Christopher Tait, Kapil Gupta, Abhishek Bhurwal, Carolyn Catalano, Randa A. Dafalla, Dimitris Metaxas, Vinod K. Rustgi · 2021 · Computer Methods and Programs in Biomedicine
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19. Computer-aided detection of bone metastasis in bone scintigraphy images using parallelepiped classification method
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20. Query Expansion Based on Top-Ranked Images for Content-Based Medical Image Retrieval
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21. Wavelet packet energy, Tsallis entropy and statistical parameterization for support vector-based and neural-based classification of mammographic regions
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22. Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
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23. Down syndrome detection based on facial features using a geometric descriptor
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24. Breast cancer diagnosis using abnormalities on ipsilateral views of digital mammograms
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25. Evaluation of Texture for Classification of Abdominal Aortic Aneurysm After Endovascular Repair
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26. Investigation of computer-aided diagnosis system for bone scans: a retrospective analysis in 406 patients
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27. Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows
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29. Multi-Fundus Diseases Classification Using Retinal Optical Coherence Tomography Images with Swin Transformer V2
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30. A GPU-based breast cancer detection system using Single Pass Fuzzy C-Means clustering algorithm
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31. An Artificial Intelligence Algorithm to Predict Nodal Metastasis in Lung Cancer
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32. Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features
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33. A Retrieval-Based Computer-Aided Diagnosis System for the Characterization of Liver Lesions in CT Scans
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34. Computer-aided Diagnosis of Focal Liver Lesions by Use of Physicians' Subjective Classification of Echogenic Patterns in Baseline and Contrast-enhanced Ultrasonography
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35. The Brain MR Image Segmentation Techniques and use of Diagnostic Packages
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36. Novel Quantitative PET Techniques for Clinical Decision Support in Oncology
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38. Automatic recognition of subject‐specific cerebrovascular trees
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39. Alzheimer’s Disease Early Diagnosis Using Manifold-Based Semi-Supervised Learning
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40. Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images
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41. Deep Learning Framework Applied For Predicting Anomaly of Respiratory Sounds
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42. PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation
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43. Artificial intelligence‐based blockchain solutions for intelligent healthcare: A comprehensive review on privacy preserving techniques
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44. Comparison of Radiologist and CAD Performance in the Detection of CT-confirmed Subtle Pulmonary Nodules on Digital Chest Radiographs
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45. Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting
    Irena Buksakowska, Joseph M. Accurso, Felix E. Diehn, John Huston, Timothy J. Kaufmann, Patrick H. Luetmer, Christopher P. Wood, Xinsheng Yang, Daniel J. Blezek, R. Carter et al. · 2014 · American Journal of Neuroradiology
46. Introduction to Machine Learning in Healthcare Informatics
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47. A Computer-Aided Diagnosis System for Breast Cancer Using Deep Convolutional Neural Networks
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48. Robust path planning for flexible needle insertion using Markov decision processes
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49. Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation
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50. Automatic HCC Detection Using Convolutional Network with Multi-Magnification Input Images
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51. Deep learning with perspective modeling for early detection of malignancy in mammograms
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52. Content-based image retrieval applied to BI-RADS tissue classification in screening mammography
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53. Effect of Temporal Subtraction Technique on Interpretation Time and Diagnostic Accuracy of Chest Radiography
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54. Potential of Computer-Aided Diagnosis to Improve CT Lung Cancer Screening
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55. Calibration of medical diagnostic classifier scores to the probability of disease
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56. The Role of Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Disorders
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57. Computer-aided diagnosis of lumbar disc herniation
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58. Computer-aided Diagnosis in Breast Ultrasound
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59. The Medical Image Perception Society Update on Key Issues for Image Perception Research
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60. Mammographic mass classification according to Bi‐RADS lexicon
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61. Multi-modal classifier fusion with feature cooperation for glaucoma diagnosis
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62. A system to detect cerebral aneurysms in multimodality angiographic data sets
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63. Content-based Retrieval of Medical Images
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64. Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges
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65. A new descriptor for computer-aided diagnosis of EUS imaging to distinguish autoimmune pancreatitis from chronic pancreatitis
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66. Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI
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67. Automated segmentation of 3D anatomical structures on CT images by using a deep convolutional network based on end-to-end learning approach
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68. Detection of cervical lymph node metastasis from oral cavity cancer using a non-radiating, noninvasive digital infrared thermal imaging system
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77. Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy
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78. Investigation of psychophysical similarity measures for selection of similar images in the diagnosis of clustered microcalcifications on mammograms
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79. Multiple Kernel-Learning Approach for Medical Image Analysis
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80. Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema
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82. Differentiating High-Grade Gliomas from Brain Metastases at Magnetic Resonance: The Role of Texture Analysis of the Peritumoral Zone
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84. Anomaly Detection of Calcifications in Mammography Based on 11,000 Negative Cases
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88. Benign and malignant mammographic image classification based on Convolutional Neural Networks
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93. The Responsibility Quantification Model of Human Interaction With Automation
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100. Deep learning for abnormality detection in chest x-ray images
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