Two-stage interpretable human-like framework of breast tumor auxiliary diagnosis based on multimodal ultrasound images

Prompt-level contrastive learning for context-aware multi-modal image representation in medical diagnosis

10.1016/j.patcog.2025.113027 · doi-reference

Multi-task learning network for medical image analysis guided by lesion regions and spatial relationships of tissues

10.1109/tcsvt.2025.3596803 · doi-reference

Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework

10.1016/j.media.2023.102960 · doi-reference

TDF-Net: Trusted dynamic feature fusion network for breast cancer diagnosis using incomplete multimodal ultrasound

10.1016/j.inffus.2024.102592 · doi-reference

10.1145/3498361.3538919

10.1145/3498361.3538919 · doi-reference

10.1007/978-3-030-01264-9_8

10.1007/978-3-030-01264-9_8 · doi-reference

10.1007/s11432-019-9866-3

10.1007/s11432-019-9866-3 · doi-reference

Attention, please! a survey of neural attention models in deep learning

10.1007/s10462-022-10148-x · doi-reference

10.1109/cvpr.2017.75

10.1109/cvpr.2017.75 · doi-reference

Learning representations by back-propagating errors

10.1038/323533a0 · doi-reference

10.1109/cvpr.2018.00745

10.1109/cvpr.2018.00745 · doi-reference

Feng, an ensemble of fine-tuned convolutional neural networks for medical image classification

10.1109/jbhi.2016.2635663 · doi-reference

Cross-domain decision making based on TrAdaBoost for diagnosis of breast lesions

10.1007/s10462-022-10267-5 · doi-reference

Ultrasound-based deep learning radiomics for multi-stage assisted diagnosis in reducing unnecessary biopsies of BI-RADS 4A lesions

10.21037/qims-24-580 · doi-reference

Diagnostic performance of artificial intelligence-based computer-aided detection software for automated breast ultrasound

10.1016/j.acra.2023.09.013 · doi-reference

Multimodal deep learning for enhanced breast cancer diagnosis on sonography

10.1016/j.compbiomed.2025.110466 · doi-reference

Development and validation of an integrated model combining deep learning, radiomics, and clinical and breast ultrasound features for Breast Imaging Reporting and Data System 4A lesion malignancy classification

10.21037/qims-2025-1463 · doi-reference

A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis

10.1038/s43856-024-00518-7 · doi-reference

Deep learning for describing breast ultrasound images with BI-RADS terms

10.1007/s10278-024-01155-1 · doi-reference

Multi-task/single-task joint learning of ultrasound BI-RADS features

10.1109/tuffc.2021.3132933 · doi-reference

Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images

10.1016/j.medengphy.2022.103895 · doi-reference

Distilling knowledge from an ensemble of vision transformers for improved classification of breast ultrasound

10.1016/j.acra.2023.08.006 · doi-reference

Deep learning based on ultrasound images assists breast lesion diagnosis in China: a multicenter diagnostic study

10.1186/s13244-022-01259-8 · doi-reference

Multimodality deep learning radiomics nomogram for preoperative prediction of malignancy of breast cancer: a multicenter study

10.1088/1361-6560/acec2d · doi-reference

Deep learning-based multimodal fusion network for segmentation and classification of breast cancers using B-mode and elastography ultrasound images

10.1002/btm2.10480 · doi-reference

Artificial intelligence adoption challenges from healthcare providers’ perspectives: a comprehensive review and future directions

10.1016/j.ssci.2025.107028 · doi-reference

Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review

10.1016/j.eclinm.2025.103228 · doi-reference

Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints

10.1016/j.media.2021.102315 · doi-reference

10.1117/12.2549298

10.1117/12.2549298 · doi-reference

A survey on explainable artificial intelligence (XAI): Toward medical XAI

10.1109/tnnls.2020.3027314 · doi-reference

A review on deep learning in medical image analysis

10.1007/s13735-021-00218-1 · doi-reference

Deep learning

10.1038/nature14539 · doi-reference

Screening breast ultrasound using handheld or automated technique in women with dense breasts

10.1093/jbi/wbz055 · doi-reference

Ultrasound screening of breast cancer

10.1007/s12282-008-0082-8 · doi-reference

Early detection of cancer: past, present, and future

10.14694/edbook_am.2015.35.57 · doi-reference

Early diagnosis of breast cancer

10.3390/s17071572 · doi-reference

A deep learning-based diagnostic pattern for ultrasound breast imaging: can it reduce unnecessary biopsy?

10.21037/gs-22-473 · doi-reference

10.1109/cvpr.2016.90

10.1109/cvpr.2016.90 · doi-reference