通过深度迁移学习设计用于估计贫血状况的多域特征分析模型

IF 1.3 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IETE Journal of Research Pub Date : 2024-06-30 DOI:10.1080/03772063.2024.2368645

Vinit P. Kharkar, Ajay P. Thakare

引用次数: 0

摘要

从贫血性视网膜病变中检测贫血涉及对严重贫血导致的特定视网膜变化的识别和分析，这需要对多模态视网膜病变进行分析。

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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Design of Multidomain Feature Analysis Model for Estimation of Anemic Conditions via Deep Transfer Learning

The detection of anemia from anemic retinopathy involves the identification and analysis of specific retinal changes that occur as a result of severe anemia which requires analysis of multimodal so...

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来源期刊

IETE Journal of Research 工程技术-电信学

CiteScore

3.30

自引率

6.70%

发文量

308

期刊介绍： IETE Journal of Research is a Bimonthly journal published by the Institution of Electronics and Telecommunication Engineers (IETE), India. It publishes scientific and technical papers describing original research work or novel product/process development. Occasionally special issues are brought out on new and emerging research areas. IETE Journal of Research is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of electronics, telecommunications, computer science and engineering and information technology.