4 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…