3 papers
cs.CV2026
TRACE: Training-time Report-guided and Clinically Ordered Concept Editing
Wentao Yue, Tianyou Lai, Jiayu Luo +4
Breast ultrasound diagnosis relies on clinically meaningful semantic concepts, yet most deep learning methods adopt end-to-end image-to-label paradigms that lack interpretability a…
cs.CV2025
DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis
Chao Tu, Kun Huang, Jie Zhang +3
The burgeoning discipline of computational pathology shows promise in harnessing whole slide images (WSIs) to quantify morphological heterogeneity and develop objective prognostic…
eess.IV2020
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation
Zhenyuan Ning, Ke Wang, Shengzhou Zhong +2
Breast ultrasound (BUS) image segmentation plays a crucial role in a computer-aided diagnosis system, which is regarded as a useful tool to help increase the accuracy of breast can…