666 citations · 821 across the 21 of their papers we have counts for
21 papers
Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li, Mingzhe Hu, Xiaofeng Yang
Colon polyps are considered important precursors for colorectal cancer. Automatic segmentation of colon polyps can significantly reduce the misdiagnosis of colon cancer and improve…
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Mingzhe Hu, Yuheng Li, Xiaofeng Yang
Skin cancer is a prevalent and potentially fatal disease that requires accurate and efficient diagnosis and treatment. Although manual tracing is the current standard in clinics, a…
Multi-organ Segmentation Network with Adversarial Performance Validator
Haoyu Fang, Yi Fang, Xiaofeng Yang
CT organ segmentation on computed tomography (CT) images becomes a significant brick for modern medical image analysis, supporting clinic workflows in multiple domains. Previous se…
Automatic Inverse Treatment Planning for Gamma Knife Radiosurgery via Deep Reinforcement Learning
Yingzi Liu, Chenyang Shen, Tonghe Wang +6
Purpose: Several inverse planning algorithms have been developed for Gamma Knife (GK) radiosurgery to determine a large number of plan parameters via solving an optimization proble…
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Mingquan Lin, Jacob Wynne, Yang Lei +4
Medical imaging is widely used in cancer diagnosis and treatment, and artificial intelligence (AI) has achieved tremendous success in various tasks of medical image analysis. This…
Generative Adversarial Network for Image Synthesis
Yang Lei, Richard L. J. Qiu, Tonghe Wang +3
This chapter reviews recent developments of generative adversarial networks (GAN)-based methods for medical and biomedical image synthesis tasks. These methods are classified into…