XCR-Net: A Computer Aided Framework to Detect COVID-19

IF 4.3 2区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Consumer Electronics Pub Date : 2024-08-26 DOI:10.1109/tce.2024.3446793

Ashik Mostafa Alvi, Md. Jubaer Khan, Nishat Tasnim Manami, Zubair Azim Miazi, Kate Wang, Siuly Siuly, Hua Wang

引用次数: 0

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XCR-Net：检测 COVID-19 的计算机辅助框架

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Consumer Electronics 工程技术-电信学

CiteScore

7.70

自引率

9.30%

发文量

审稿时长

3.3 months

期刊介绍： The main focus for the IEEE Transactions on Consumer Electronics is the engineering and research aspects of the theory, design, construction, manufacture or end use of mass market electronics, systems, software and services for consumers.