activity
20242026
most citedPrototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI

33 citations · 40 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

Cross-Modal Clinical Knowledge Integration for Mammography Report Generation

Jiayi Zhu, Fuxiang Huang, Yu Xie +7

Breast cancer is a major global health concern, and mammography screening plays a central role in early detection. The large volume of screening examinations creates a substantial…

cs.CV2026

A Breast Vision Pathology Foundation Model for Real-world Clinical Utility

Yingxue Xu, Zhengyu Zhang, Xiuming Zhang +32

Pathology foundation models have shown strong retrospective performance, but whether such systems can support clinically relevant use remains unclear. This challenge is particularl…

cs.CV2026

A Deployment-Friendly Foundational Framework for Efficient Computational Pathology

Yu Cai, Cheng Jin, Zhengyu Zhang +25

Pathology foundation models (PFMs) generalize well across computational pathology tasks but remain costly for gigapixel whole-slide image analysis. Here, we present LitePath, a dep…

cs.CV2025

A Versatile Foundation Model for AI-enabled Mammogram Interpretation

Fuxiang Huang, Jiayi Zhu, Yunfang Yu +20

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer-related mortality in women globally. Mammography is essential for the early detection and diagno…

cs.CV20253 cited

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology

Jiabo Ma, Yingxue Xu, Fengtao Zhou +23

The emergence of pathology foundation models has revolutionized computational histopathology, enabling highly accurate, generalized whole-slide image analysis for improved cancer d…

cs.CV2024

A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI

Luyang Luo, Mingxiang Wu, Mei Li +8

Breast Magnetic Resonance Imaging (MRI) demonstrates the highest sensitivity for breast cancer detection among imaging modalities and is standard practice for high-risk women. Inte…