A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images-Reference-Cited by-同舟云学术

A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images

Author:

Xu Xingxin¹^ORCID,Zhu Qikui²^ORCID,Ying Hanning³,Li Jiongcheng⁴^ORCID,Cai Xiujun³,Li Shuo²^ORCID,Liu Xiaoqing¹^ORCID,Yu Yizhou⁵^ORCID

Affiliation:

1. AI Lab, Deepwise Healthcare, Beijing, China

2. Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA

3. Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Hangzhou, China

4. Department of Information and Communication Engineering, Xiamen University, Xiamen, Fujian, China

5. Department of Computer Science, The University of Hong Kong, Hong Kong

Funder

National Key Research and Development Program of China

Zhejiang Provincial Key Research & Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference52 articles.

5. The liver tumor segmentation benchmark (LiTS;bilic;Med Image Anal,2022

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