Learning generalizable representations across Heterogeneous Acquisition Environments for Breast Ultrasound Diagnosis

Computerized Medical Imaging and Graphics · Published 2026-07-17 · DOI 10.1016/j.compmedimag.2026.102799

Authors (6)

Huanjun Wang, Shukang Zhang, Wentao Kong, Wei Shao, Daoqiang Zhang, Peng Wan

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Wang, H., Zhang, S., Kong, W., et al. (2026). Learning generalizable representations across Heterogeneous Acquisition Environments for Breast Ultrasound Diagnosis. Computerized Medical Imaging and Graphics. https://doi.org/10.1016/j.compmedimag.2026.102799

Related articles

• Multi-level information fusion for explainable diagnosis of melanoma using dermoscopic images · Computerized Medical Imaging and Graphics · 2026 · Same journal
• Vessel-MAYON: A 3D direction-aware deep network for intracranial vessel segmentation from MRA Images · Computerized Medical Imaging and Graphics · 2026 · Same journal
• ScribSAM: A robust scribble-supervised framework for spatiotemporal segmentation of breast lesions in ultrasound videos · Computerized Medical Imaging and Graphics · 2026 · Same journal
• RFD: A Reducing Feature Discrepancy method for unsupervised cross-modality SAM adaptation · Computerized Medical Imaging and Graphics · 2026 · Same journal
• Adaptive prompting for dual-task learning: Towards high-quality MRI reconstruction from unidentified degradation · Computerized Medical Imaging and Graphics · 2026 · Same journal
• Adaptive aggregation in federated learning for retinal vein occlusion detection: A dynamic approach based on data distribution · Computerized Medical Imaging and Graphics · 2026 · Same journal
• Mask-aware foundational-model embeddings for 18F-FDG-PET/CT prognosis in multiple myeloma · Computerized Medical Imaging and Graphics · 2026 · Same journal
• SegMeshNet: Joint heart segmentation and mesh reconstruction with task-aware shared attention · Computerized Medical Imaging and Graphics · 2026 · Same journal
• Leveraging co-attention-based interactions between pathology and radiology for pan-cancer survival prediction · Computerized Medical Imaging and Graphics · 2026 · Same journal
• Segmentation-aware Generative Reinforcement Network (GRN) for tissue layer segmentation in 3-D ultrasound images for chronic low-back pain (cLBP) assessment · Computerized Medical Imaging and Graphics · 2026 · Same journal