Empowering diagnosis: an astonishing deep transfer learning approach with fine tuning for precise lung disease classification from CXR images

IF 1.7 4区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Automatika Pub Date : 2023-12-12 DOI:10.1080/00051144.2023.2290737

M. Shimja, K. Kartheeban

引用次数: 0

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增强诊断能力：一种惊人的深度迁移学习方法，可通过微调对 CXR 图像进行精确的肺病分类

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来源期刊

Automatika AUTOMATION & CONTROL SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

4.00

自引率

5.30%

发文量

审稿时长

4.5 months

期刊介绍： AUTOMATIKA – Journal for Control, Measurement, Electronics, Computing and Communications is an international scientific journal that publishes scientific and professional papers in the field of automatic control, robotics, measurements, electronics, computing, communications and related areas. Click here for full Focus & Scope. AUTOMATIKA is published since 1960, and since 1991 by KoREMA - Croatian Society for Communications, Computing, Electronics, Measurement and Control, Member of IMEKO and IFAC.

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