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Updated: Jan 7, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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FeSEC:医疗成像安全和高效的联合学习框架

Muhammad Asad1, Yading Yuan1

  • 1Department of Radiation Oncology, Columbia University Irving Medical Center, New York 10032, USA.

Proceedings of SPIE--the International Society for Optical Engineering
|December 29, 2025
PubMed
概括

医学成像中的联合学习 (FL) 面临隐私和通信挑战. 拟议的FeSEC框架提高了FL的安全性和效率,提高了COVID-19检测准确度,降低了通信成本.

关键词:
在 COVID-19 疫情中,数据 隐私 数据 隐私 数据有效的沟通 有效的沟通联邦学习学习 (Federated Learning) 是一种学习方式.

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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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