3 papers
cs.CV2026
Scribble-Supervised Medical Image Segmentation with Dynamic Teacher Switching and Hierarchical Consistency
Thanh-Huy Nguyen, Hoang-Loc Cao, Dat T. Chung +5
Scribble-supervised methods have emerged to mitigate the prohibitive annotation burden in medical image segmentation. However, the inherent sparsity of these annotations introduces…
eess.IV2024
Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis
Dat T. Chung, Minh-Anh Dang, Mai-Anh Vu +3
Breast Ultrasound plays a vital role in cancer diagnosis as a non-invasive approach with cost-effective. In recent years, with the development of deep learning, many CNN-based appr…
cs.CV2023
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection
Huy T. Nguyen, Thinh B. Lam, Quan D. D. Tran +3
This paper investigates the impact of breast density distribution on the generalization performance of deep-learning models on mammography images using the VinDr-Mammo dataset. We…