FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation-Reference-Cited by-同舟云学术

FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation

Published:2024 Issue: Volume:12 Page:33687-33704
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sun Guanqun¹^ORCID,Shu Han¹,Shao Feihe²,Racharak Teeradaj³^ORCID,Kong Weikun⁴,Pan Yizhi¹,Dong Jingjing¹,Wang Shuang⁵^ORCID,Nguyen Le-Minh³^ORCID,Xin Junyi¹

Affiliation:

1. School of Information Engineering, Hangzhou Medical College, Hangzhou, China

2. Department of Information, Hangzhou Medical College Affiliated Lin'an People's Hospital, Hangzhou, China

3. School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

4. Department of Electronic Engineering, Tsinghua University, Beijing, China

5. Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China

Funder

Industry-University-Research Innovation Fund for Chinese Universities

“Pioneer” and “Leading Goose” Research and Development (R&D) Program of Zhejiang

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10456909.pdf?arnumber=10456909

Reference46 articles.

1. U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

2. UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias

3. Automatic Polyp Segmentation Using Modified Recurrent Residual Unet Network

4. A Novel Lightweight Swin-Unet Network for Semantic Segmentation of COVID-19 Lesion in CT Images

5. U-Net: Convolutional Networks for Biomedical Image Segmentation

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