A deep learning framework for supporting the classification of breast lesions in ultrasound images

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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

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Deep learning‐based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients

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Ultrasound Deep Learning for Wall Segmentation and Near-Wall Blood Flow Measurement

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Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound

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PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation

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Automated diagnosis of breast cancer from ultrasound images using diverse ML techniques

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A Convolutional Neural Network Based on Ultrasound Images of Primary Breast Masses: Prediction of Lymph-Node Metastasis in Collaboration With Classification of Benign and Malignant Tumors

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Boundary-aware Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis

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Discrimination of benign and malignant solid breast masses using deep residual learning-based bimodal computer-aided diagnosis system

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Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review

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Ultrasound detection of subquadricipital recess distension

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Domain knowledge-guided adversarial adaptive fusion of hybrid breast ultrasound data

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Prospective assessment of breast lesions AI classification model based on ultrasound dynamic videos and ACR BI-RADS characteristics

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Lesion Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization

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Evaluation of Hepatic Fibrosis Using Ultrasound Backscattered Radiofrequency Signals and One-Dimensional Convolutional Neural Networks

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Breast cancer segmentation and classification in ultrasound images using convolutional neural networkPreprint

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An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images

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Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging

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A Comparative Study of Multiple Deep Learning Models Based on Multi-Input Resolution for Breast Ultrasound Images

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Combined CNN and Pixel Feature Image for Fatty Liver Ultrasound Image Classification

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Accurate and robust auto‐segmentation of head and neck organ‐at‐risks based on a novel CNN fine‐tuning workflow

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Analysis of neural networks for routine classification of sixteen ultrasound upper abdominal cross sections

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Using Segment-Level Attention to Guide Breast Ultrasound Video Classification

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Multi-feature Fusion for Ultrasound Breast Image Classification of Benign and Malignant

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Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer

Kim, Y. S., Lee, S. E., Chang, J. M., Kim, S.-Y., & Bae, Y. K. (2022) · Medicine · doi:10.1097/md.0000000000028621 · Cited by 8

Classification of Ultrasound Breast Images Using Fused Ensemble of Deep Learning Classifiers

Nehary, E. A., & Rajan, S. (2022) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea54994.2022.9856496 · Cited by 8

Evaluation of AI diagnostic systems for breast ultrasound: comparative analysis with radiologists and the effect of AI assistance

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Digital sensing technologies in cancer care: A new era in early detection and personalized diagnosis

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DEVELOPMENT OF CONVOLUTIONAL NEURAL NETWORK MODEL FOR CLASSIFICATION OF CARDIOMEGALY X-RAY IMAGES

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Ultrasound breast tumoral classification by a new adaptive pre-trained convolutive neural networks for computer-aided diagnosis

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An Integrated Multimodal-Based CAD System for Breast Cancer Diagnosis

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A Brief Review of Breast Cancer Detection via Computer Aided Deep Learning Methods

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Characterization of indeterminate breast lesions on B-mode ultrasound using automated machine learning models

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Exploring the Potential of Artificial Intelligence in Breast Ultrasound

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Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images

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Machine learning in breast cancer imaging: a review on data, models and methods

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Role of Radiology in the Diagnosis and Treatment of Breast Cancer in Women: A Comprehensive Review

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Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations

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Bayesian optimized novel CNN for improved diagnosis from ultrasound breast tumor images

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Deep Learning on Ultrasound Imaging for Breast Cancer Diagnosis and Treatment: Current Applications and Future Perspectives

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Study on the differential diagnosis of benign and malignant breast lesions using a deep learning model based on multimodal images

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BreastNet: Entropy-Regularized Transferable Multi-task Learning for Classification with Limited Breast Data

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A gated convolutional neural network for classification of breast lesions in ultrasound images

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A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis

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Wrist and elbow fracture detection and segmentation by artificial intelligence using point-of-care ultrasound

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Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

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Breast Cancer Diagnosis Using a Dual-Modality Complementary Deep Learning Network With Integrated Attention Mechanism Fusion of B-Mode Ultrasound and Shear Wave Elastography

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Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy

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DK-Consistency: A Domain Knowledge Guided Consistency Regularization Method for Semi-supervised Breast Cancer Diagnosis

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Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study

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Downgrading Breast Imaging Reporting and Data System categories in ultrasound using strain elastography and computer-aided diagnosis system: a multicenter, prospective study

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Breast Cancer Detection on Dual-View Sonography via Data-Centric Deep Learning

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A hybrid features fusion-based framework for classification of breast micronodules using ultrasonography

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Advanced CNN-Based Classification and Segmentation for Enhanced Breast Cancer Ultrasound Imaging

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Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy

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Improving Generalization of ENAS-Based CNN Models for Breast Lesion Classification from Ultrasound Images

Ahmed, M. H., AlZoubi, A., & Du, H. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-80432-9_33 · Cited by 7

Pre-Trained Deep Neural Network-Based Computer-Aided Breast Tumor Diagnosis Using ROI Structures

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CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation

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Integration of AI lesion classification, age, and BI-RADS assessment to reduce benign biopsies on breast ultrasound

Ju, Y., Zhang, G., Wan, Y., Wang, G., Shu, R., Zhang, P., & Song, H. (2025) · European Radiology · doi:10.1007/s00330-025-11467-7 · Cited by 4

Gradually Vanishing Bridge Based on Multi-Kernel Maximum Mean Discrepancy for Breast Ultrasound Image Classification

Xu, B., Tan, C., Wu, Y. T., & Li, F. (2024) · Journal of Advanced Computational Intelligence and Intelligent Informatics · doi:10.20965/jaciii.2024.p0835 · Cited by 4

End-to-end CNN-based deep learning enhances breast lesion characterization using quantitative ultrasound (QUS) spectral parametric images

Osapoetra, L. O., Moslemi, A., Moore-Palhares, D., Halstead, S., Alberico, D., Hwang, A., Sannachi, L., Curpen, B. N., & Czarnota, G. J. (2025) · Scientific Reports · doi:10.1038/s41598-025-15772-5 · Cited by 6

An Improved Ultrasound Tumor Segmentation Using CNN Activation Map Clustering and Active Contours

Sivanandan, R., & Jayakumari, J. (2020) · International Conference on Computing, Communication and Automation · doi:10.1109/iccca49541.2020.9250909 · Cited by 4

A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis

PARK, J. H., LIM, J. H., KIM, S., & Heo, J. (2024) · In Vivo · doi:10.21873/invivo.13767 · Cited by 4

RATE-iPATH: On the design of integrated ultrasonic biomarkers for breast cancer detection

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A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images

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A Practical Computer Aided Diagnosis System for Breast Ultrasound Classifying Lesions into the ACR BI-RADS Assessment

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Hybrid deep learning models for automatic segmentation and classification of breast lesions in ultrasound images

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Optimizing breast cancer prediction through stacking ensemble machine learning models: a comparative analysis

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A Machine Learning Applied Diagnosis Method for Subcutaneous Cyst by Ultrasonography

Feng, H., Tang, Q., Yu, Z., Tang, H., Yin, M., & An, W. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/1526540 · Cited by 3

Contrastive learning–guided multi-meta attention network for breast ultrasound video diagnosis

Huang, X., Lin, Z. R., Huang, S., Wang, F. L., Chan, M.-T., & Wang, L. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.952457 · Cited by 3

Intelligent Recognition of the Ultrasound Standard Plane of the Fetal Cranial Brain with the FCB-Net

Zeng, P., Yu, W., Liu, Z., Diao, Y., & Liu, P. (2022) · IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID) · doi:10.1109/asid56930.2022.9996076 · Cited by 3

Breast lesion detection and visualization utilizing artificial intelligence and the H-scan

Baek, J., O’Connell, A. M., & Parker, K. J. (2022) · IEEE International Ultrasonics Symposium · doi:10.1109/ius54386.2022.9957993 · Cited by 3

A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography

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Deep learning model for the diagnosis of breast cancers smaller than 1 cm with ultrasonography: integration of ultrasonography and clinical factors

Bong, J. H., Kim, T. H., & Jeong, S. (2023) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-22-880 · Cited by 2

The African Breast Imaging Dataset for Equitable Cancer Care: Protocol for an Open Mammogram and Ultrasound Breast Cancer Detection DatasetPreprint

Kawooya, M. G., Malumba, R., Jatho, A., Katumba, A., Nabende, J. N., Musinguzi, D., Achuka, S. A., Adewole, M., & Anazodo, U. (2025) · medRxiv · doi:10.1101/2025.08.26.25334483 · Cited by 3

Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks

Nehary, E. A., & Rajan, S. (2024) · IEEE Access · doi:10.1109/access.2024.3442374 · Cited by 3

Subtyping breast lesions via collective intelligence based long-tailed recognition in ultrasound

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Deep Learning‐Based CAD System for Enhanced Breast Lesion Classification and Grading Using RFTSDP Approach

Ghehi, E. N., Fallah, A., Rashidi, S., & Dastjerdi, M. M. (2025) · Journal of Ultrasound in Medicine · doi:10.1002/jum.70056 · Cited by 2

Learning from multiple modalities of imaging data for cancer diagnosis

Song, L., Liu, S., & Liu, X. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85240-1.00005-5 · Cited by 2

A diagnostic system for classifying and segmenting breast cancer based on ultrasound images

Ghabrim, H., Essid, C., & Sakli, H. (2023) · International Multi-Conference on Systems, Signals & Devices (SSD) · doi:10.1109/ssd58187.2023.10411248 · Cited by 2

Data Science is all Set to Revolutionize the Ultrasound Diagnosis in Medical Health Care

Junaid, M. J. A., & Kumar, R. (2020) · International Conference on Computation, Automation and Knowledge Management (ICCAKM) · doi:10.1109/iccakm46823.2020.9051523 · Cited by 2

Ultrasonic Image Diagnosis of Liver and Spleen Injury Based on a Double‐Channel Convolutional Neural Network

He, M., Zhang, R., Liu, S., Tan, Y., & Zeng, Y. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/2827011 · Cited by 2

Computer-aided detection of abnormality in mammography using deep object detectors

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Evaluation of pathologically confirmed benign inflammatory breast diseases using artificial intelligence on ultrasound images

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Multitask Classification Method Based on Label Correction for Breast Tumor Ultrasound Images

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