6 papers
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms
Juntao Jiang, Jinsheng Bai, Linxuan Fan +3
We present APRIL-MedSeg, a YAML-driven modular framework for 2D medical image segmentation. It provides a unified and extensible ecosystem that decomposes segmentation networks int…
M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding
Juntao Jiang, Jiangning Zhang, Yali Bi +7
Chain-of-Thought (CoT) reasoning has proven effective in enhancing large language models by encouraging step-by-step intermediate reasoning, and recent advances have extended this…
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…
LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation
Juntao Jiang, Mengmeng Wang, Huizhong Tian +2
While large models have achieved significant progress in computer vision, challenges such as optimization complexity, the intricacy of transformer architectures, computational cons…
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…
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…