Research graph
References from Two-stage interpretable human-like framework of breast tumor auxiliary diagnosis based on multimodal ultrasound images. Local targets link to admitted publications; unresolved targets remain external evidence.
CA Cancer
2025 · External reference
GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2022 · External reference
A deep learning-based diagnostic pattern for ultrasound breast imaging: can it reduce unnecessary biopsy?
10.21037/gs-22-473 · 2022 · External reference
Early diagnosis of breast cancer
10.3390/s17071572 · 2017 · External reference
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Screening breast ultrasound using handheld or automated technique in women with dense breasts
10.1093/jbi/wbz055 · 2019 · External reference
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A review on deep learning in medical image analysis
10.1007/s13735-021-00218-1 · 2022 · External reference
A survey on explainable artificial intelligence (XAI): Toward medical XAI
10.1109/tnnls.2020.3027314 · 2021 · External reference
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10.1117/12.2549298 · External reference
Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints
10.1016/j.media.2021.102315 · 2022 · External reference
Care to explain?
2024 · External reference
Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review
10.1016/j.eclinm.2025.103228 · 2025 · External reference
Artificial intelligence in breast US diagnosis and report generation
2025 · External reference
Artificial intelligence adoption challenges from healthcare providers’ perspectives: a comprehensive review and future directions
10.1016/j.ssci.2025.107028 · 2026 · External reference
BI-RADS® fifth edition: a summary of changes, Diagn. Interv
2017 · External 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 · 2023 · External reference
Multimodality deep learning radiomics nomogram for preoperative prediction of malignancy of breast cancer: a multicenter study
10.1088/1361-6560/acec2d · 2023 · External reference
Diagnostic performance of deep learning in ultrasound diagnosis of breast cancer: a systematic review, npj Precis
2024 · External reference
Deep learning based on ultrasound images assists breast lesion diagnosis in China: a multicenter diagnostic study
10.1186/s13244-022-01259-8 · 2022 · External reference
Distilling knowledge from an ensemble of vision transformers for improved classification of breast ultrasound
10.1016/j.acra.2023.08.006 · 2024 · External reference
Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images
10.1016/j.medengphy.2022.103895 · 2022 · External reference
Multi-task/single-task joint learning of ultrasound BI-RADS features
10.1109/tuffc.2021.3132933 · 2022 · External reference
Deep learning for describing breast ultrasound images with BI-RADS terms
10.1007/s10278-024-01155-1 · 2024 · External reference
A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis
10.1038/s43856-024-00518-7 · 2024 · External 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 · 2025 · External reference
Multimodal deep learning for enhanced breast cancer diagnosis on sonography
10.1016/j.compbiomed.2025.110466 · 2025 · External reference
Diagnostic performance of artificial intelligence-based computer-aided detection software for automated breast ultrasound
10.1016/j.acra.2023.09.013 · 2024 · External 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 · 2025 · External reference
Cross-domain decision making based on TrAdaBoost for diagnosis of breast lesions
10.1007/s10462-022-10267-5 · 2023 · External reference
Unresolved reference
2009 · External reference
Feng, an ensemble of fine-tuned convolutional neural networks for medical image classification
10.1109/jbhi.2016.2635663 · 2017 · External reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · External reference
Learning representations by back-propagating errors
10.1038/323533a0 · 1986 · External reference
10.1109/cvpr.2017.75
10.1109/cvpr.2017.75 · External reference
Attention, please! a survey of neural attention models in deep learning
10.1007/s10462-022-10148-x · 2022 · External reference
Attention mechanisms in computer vision: a survey, Comput. Vis
2022 · External reference
10.1007/s11432-019-9866-3
10.1007/s11432-019-9866-3 · External reference
Unresolved reference
External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
10.1007/978-3-030-01264-9_8
10.1007/978-3-030-01264-9_8 · External reference
Unresolved reference
External reference
More features from cheap operations
2020 · External reference
10.1145/3498361.3538919
10.1145/3498361.3538919 · External reference
TDF-Net: Trusted dynamic feature fusion network for breast cancer diagnosis using incomplete multimodal ultrasound
10.1016/j.inffus.2024.102592 · 2024 · External reference
Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework
10.1016/j.media.2023.102960 · 2023 · External reference
Multi-task learning network for medical image analysis guided by lesion regions and spatial relationships of tissues
10.1109/tcsvt.2025.3596803 · 2026 · External reference
Prompt-level contrastive learning for context-aware multi-modal image representation in medical diagnosis
10.1016/j.patcog.2025.113027 · 2026 · External reference
