output
20182024
most citedFocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

96 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

eess.IV2024★ 33 cited

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI

Lei Zhou, Yuzhong Zhang, Jiadong Zhang +8

Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for…

cs.CV2024★ 12 cited

AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant

Jincao Yao, Yunpeng Wang, Zhikai Lei +13

An artificial intelligence-generated content-enhanced computer-aided diagnosis (AIGC-CAD) model, designated as ThyGPT, has been developed. This model, inspired by the architecture…

eess.IV2021★ 96 cited

FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

Yunhe Gao, Rui Huang, Yiwei Yang +7

Radiotherapy is a treatment where radiation is used to eliminate cancer cells. The delineation of organs-at-risk (OARs) is a vital step in radiotherapy treatment planning to avoid…

cs.CV2019★ 44 cited

Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets

Jie Xing, Zheren Li, Biyuan Wang +6

Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the b…

cs.CV2018

An Integrated Inverse Space Sparse Representation Framework for Tumor Classification

Xiaohui Yang, Wenming Wu, Yunmei Chen +4

Microarray gene expression data-based tumor classification is an active and challenging issue. In this paper, an integrated tumor classification framework is presented, which aims…