84 citations
- Sun Yat-sen UniversityCN7 papers
- Chinese University of Hong KongHK2 papers
- Hong Kong Polytechnic UniversityHK2 papers
- Shenzhen Institutes of Advanced TechnologyCN2 papers
- Affiliated Hospital of Hangzhou Normal UniversityCN1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Chinese PLA General HospitalCN1 paper
- Dongyang People's HospitalCN1 paper
- Hangzhou Medical CollegeCN1 paper
- Hong Kong Baptist UniversityHK1 paper
- National Academy of MedicineUS1 paper
- Nuctech (China)CN1 paper
7 papers
PGVMS: A Prompt-Guided Unified Framework for Virtual Multiplex IHC Staining with Pathological Semantic Learning
Fuqiang Chen, Ranran Zhang, Wanming Hu +6
Immunohistochemical (IHC) staining enables precise molecular profiling of protein expression, with over 200 clinically available antibody-based tests in modern pathology. However,…
USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining
Yue Peng, Bing Xiong, Fuqiang Chen +5
Immunohistochemical (IHC) virtual staining is a task that generates virtual IHC images from H\&E images while maintaining pathological semantic consistency with adjacent slices. Th…
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…
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma
Zexi Huang, Lihua Guo, Xin Yang +1
Nasopharyngeal carcinoma (NPC) is a kind of malignant tumor. Accurate and automatic segmentation of organs at risk (OAR) of computed tomography (CT) images is clinically significan…
Modeling of cellular response after FLASH irradiation: a quantitative analysis based on the radiolytic oxygen depletion hypothesis
Hongyu Zhu, Junli Li, Xiaowu Deng +3
Purpose: Recent studies suggest ultra-high dose rate (FLASH) irradiation can spare normal tissues from radiotoxicity, while efficiently controlling the tumor, and this is known as…
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Yi-Jie Huang, Qi Dou, Zi-Xian Wang +6
Segmentation of colorectal cancerous regions from 3D Magnetic Resonance (MR) images is a crucial procedure for radiotherapy which conventionally requires accurate delineation of tu…