ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation-Reference-Cited by-同舟云学术

ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation

Author:

Cao Weiwei¹,Yuan Gang¹,Liu Qi¹,Peng Chengtao²^ORCID,Xie Jing³,Yang Xiaodong¹^ORCID,Ni Xinye⁴^ORCID,Zheng Jian¹^ORCID

Affiliation:

1. School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

2. University of Science and Technology of China, Hefei, China

3. Department of dermatology, The Third Affiliated Hospital of Shanghai University (Wenzhou People's Hospital), Wenzhou, China

4. The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou, China

Funder

Suzhou Science and Technology Bureau

General Program of Jiangsu Provincial Health Commission

Changzhou Key Laboratory of Medical Physics

Young Scientists of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference56 articles.

2. Shape-aware semi-supervised 3D semantic segmentation for medical images;li;Proc Int Conf Med Image Comput Comput -Assist Interv,2020

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