4 papers
FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation
Jieyun Bai, Yitong Tang, Zihao Zhou +36
Accurate segmentation of cervical structures in transvaginal ultrasound (TVS) is critical for assessing the risk of spontaneous preterm birth (PTB), yet the scarcity of labeled dat…
UltraLBM-UNet: Ultralight Bidirectional Mamba-based Model for Skin Lesion Segmentation
Linxuan Fan, Juntao Jiang, Weixuan Liu +4
Skin lesion segmentation is a crucial step in dermatology for guiding clinical decision-making. However, existing methods for accurate, robust, and resource-efficient lesion analys…
CFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion
Yaowei Guo, Jiazheng Xing, Xiaojun Hou +5
Video summarization, by selecting the most informative and/or user-relevant parts of original videos to create concise summary videos, has high research value and consumer demand i…
RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation
Juntao Jiang, Jiangning Zhang, Weixuan Liu +5
In recent years, significant advancements have been made in deep learning for medical image segmentation, particularly with convolutional neural networks (CNNs) and transformer mod…