activity
20232026
most citedA Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends

61 citations · 71 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation

Kaiwen Huang, Yi Zhou, Yizhe Zhang +2

Semi-supervised learning addresses label scarcity and high annotation costs in medical image segmentation by exploiting the latent information in unlabeled data to enhance model pe…

cs.CV2026

Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation

Kaiwen Huang, Yizhe Zhang, Yi Zhou +2

Semi-supervised medical image segmentation is an effective method for addressing scenarios with limited labeled data. Existing methods mainly rely on frameworks such as mean teache…

cs.CV2025

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation

Kaiwen Huang, Tao Zhou, Huazhu Fu +3

Semi-supervised learning has gained considerable popularity in medical image segmentation tasks due to its capability to reduce reliance on expert-examined annotations. Several mea…

cs.CV2025

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation

Kaiwen Huang, Yi Zhou, Huazhu Fu +3

Semi-supervised medical image segmentation is a crucial technique for alleviating the high cost of data annotation. When labeled data is limited, textual information can provide ad…

cs.CV2024

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation

Kaiwen Huang, Tao Zhou, Huazhu Fu +4

The limited availability of labeled data has driven advancements in semi-supervised learning for medical image segmentation. Modern large-scale models tailored for general segmenta…

eess.IV2023★ 10 cited

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

Xiangde Luo, Jia Fu, Yunxin Zhong +39

Radiation therapy is a primary and effective NasoPharyngeal Carcinoma (NPC) treatment strategy. The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is c…

cs.CV2023★ 61 cited

A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends

Jiaxin Mei, Tao Zhou, Kaiwen Huang +4

Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist…