[2603.01295] Multi-Level Bidirectional Decoder Interaction for Uncertainty-Aware Breast Ultrasound Analysis

Computer Science > Computer Vision and Pattern Recognition arXiv:2603.01295 (cs) [Submitted on 1 Mar 2026] Title:Multi-Level Bidirectional Decoder Interaction for Uncertainty-Aware Breast Ultrasound Analysis Authors:Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed, Sk Imran Hossain, Engelbert Mephu Nguifo View a PDF of the paper titled Multi-Level Bidirectional Decoder Interaction for Uncertainty-Aware Breast Ultrasound Analysis, by Abdullah Al Shafi and 4 other authors View PDF HTML (experimental) Abstract:Breast ultrasound interpretation requires simultaneous lesion segmentation and tissue classification. However, conventional multi-task learning approaches suffer from task interference and rigid coordination strategies that fail to adapt to instance-specific prediction difficulty. We propose a multi-task framework addressing these limitations through multi-level decoder interaction and uncertainty-aware adaptive coordination. Task Interaction Modules operate at all decoder levels, establishing bidirectional segmentation-classification communication during spatial reconstruction through attention weighted pooling and multiplicative modulation. Unlike prior single-level or encoder-only approaches, this multi-level design captures scale specific task synergies across semantic-to-spatial scales, producing complementary task interaction streams. Uncertainty-Proxy Attention adaptively weights base versus enhanced features at each level using feature activation v...