Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentationby Yulin…
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledgeby Bo…
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targetsby Tianyi Liu, Zhaorui Tan, Kaizhu…
ReMamber: Referring Image Segmentation with Mamba Twisterby Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong,…
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imagingby Lingdong Shen, Fangxin…
MatchSeg: Towards Better Segmentation via Reference Image Matchingby Jiayu Huo, Ruiqiang Xiao, Haotian Zheng, Yang…
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Projectby…
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selectionby Matheus A. Cerqueira, Flávia…
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learningby Hyung-Il Kim, Kimin Yun, Jun-Seok Yun,…
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Modelsby Patrick Knab, Sascha Marton,…