3 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
Modern Backbones Improve Multi-task DETR for Mammography Classification and Lesion Localization
Dinh Tan Nguyen, Quang-Hien Kha, Le-Hoang Nguyen +8
Joint exam-level prediction and candidate-region localization may improve the usefulness of AI support in mammography. We study this setting using a multi-task DETR framework, wher…
JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification
Phan Nguyen, Dat Cao, Hien Kha +4
Skin lesion classification is essential for early dermatological diagnosis, yet many existing computer-aided systems rely primarily on dermoscopic images and underutilize the multi…
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
Thanh-Huy Nguyen, Quang Hien Kha, Thai Ngoc Toan Truong +4
In recent years, many mammographic image analysis methods have been introduced for improving cancer classification tasks. Two major issues of mammogram classification tasks are lev…