This paper is in the following e-collection/theme issue:

Machine Learning (1954) Artificial Intelligence (1985) Clinical Informatics (1253) Ethics, Privacy, and Legal Issues (591) Decision Support for Health Professionals (1460) Imaging Informatics (280) Clinical Information and Decision Making (1802) Secondary Use of Clinical Data for Research and Surveillance (450)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25869, first published .
Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment

Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment

Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment

Authors of this article:

Haeyun Lee1, 2 Author Orcid Image ;   Young Jun Chai3 Author Orcid Image ;   Hyunjin Joo1, 4 Author Orcid Image ;   Kyungsu Lee1, 2 Author Orcid Image ;   Jae Youn Hwang2 Author Orcid Image ;   Seok-Mo Kim5 Author Orcid Image ;   Kwangsoon Kim6 Author Orcid Image ;   Inn-Chul Nam7 Author Orcid Image ;   June Young Choi8 Author Orcid Image ;   Hyeong Won Yu8 Author Orcid Image ;   Myung-Chul Lee9 Author Orcid Image ;   Hiroo Masuoka10 Author Orcid Image ;   Akira Miyauchi10 Author Orcid Image ;   Kyu Eun Lee1, 11 Author Orcid Image ;   Sungwan Kim1, 4, 12 Author Orcid Image ;   Hyoun-Joong Kong1, 4, 13 Author Orcid Image
Article Authors Cited by (53) Tweetations (2) Metrics

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Books/Policy Documents

  1. Chowdhury A, Kassem H, Padoy N, Umeton R, Karargyris A. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. View
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Conference Proceedings

  1. Shah H, Patel R, Tawde P. 2023 Somaiya International Conference on Technology and Information Management (SICTIM). Federated Learning to Preserve the Privacy of User Data View
  2. Zielinski K, Kowalczyk N, Kocejko T, Mazur-Milecka M, Neumann T, Ruminski J. 2023 IEEE International Conference on Industrial Technology (ICIT). Federated Learning in Healthcare Industry: Mammography Case Study View
  3. Raza A, Guzzo A, Fortino G. 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). Federated Learning for Medical Images Analysis: A Meta Survey View
  4. Waly S, Taha R, ElGhany M, Salem M. 2023 International Conference on Microelectronics (ICM). Deep/Federated Learning Algorithms for Ultrasound Breast Cancer Image Enhancement View
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  6. Akilandeswari A, Ramamoorthy M, Akila D, Hajira A, Radhika S, Chandramohan S. 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA). Enhancing Image Classification with Federated Learning through a Flower Simulation Study on the CIFAR100 Dataset View
  7. Pratihar R, Sankar R. SoutheastCon 2025. Federated Learning for Integrating Diverse Speech Biomarkers for Parkinson's Disease Classification View