Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors-Reference-Cited by-同舟云学术

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Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors

Published:2024 Issue: Volume:12 Page:94231-94249
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Y Nguyen Tan¹^ORCID,Lam Pham Duc²^ORCID,Tinh Vo Phuc¹^ORCID,Le Duy-Dong³^ORCID,Nam Nguyen Hoang⁴^ORCID,Khoa Tran Anh⁴^ORCID

Affiliation:

1. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

2. Faculty of Engineering and Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

3. University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam

4. Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Funder

University of Economics Ho Chi Minh City, Vietnam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10587240.pdf?arnumber=10587240

Reference55 articles.

1. A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy

2. The Medical Segmentation Decathlon

3. Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools

4. Breast cancer in low-middle income countries: Abnormality in splicing and lack of targeted treatment options;Francies;Amer. J. Cancer Res.,2020

5. Chapter 28—Breast cancer;Huong,2023

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