在肺病分类中利用 Yolo Tiny 网络架构进行多模态融合转换

IF 1.1 4区计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS

Cybernetics and Systems Pub Date : 2024-05-02 DOI:10.1080/01969722.2024.2343992

Naresh Poloju, A. Rajaram

引用次数: 0

摘要

本文重点讨论通过分析和处理医学图像来识别肺部疾病这一关键任务，旨在帮助医疗专业人员进行诊断。图像处理

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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Transformation with Yolo Tiny Network Architecture for Multimodal Fusion in Lung Disease Classification

This article focuses on the crucial task of identifying lung diseases through the analysis and processing of medical images, aiming to aid medical professionals in the diagnostic process. Image fus...

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来源期刊

Cybernetics and Systems 工程技术-计算机：控制论

CiteScore

4.30

自引率

5.90%

发文量

审稿时长

>12 weeks

期刊介绍： Cybernetics and Systems aims to share the latest developments in cybernetics and systems to a global audience of academics working or interested in these areas. We bring together scientists from diverse disciplines and update them in important cybernetic and systems methods, while drawing attention to novel useful applications of these methods to problems from all areas of research, in the humanities, in the sciences and the technical disciplines. Showing a direct or likely benefit of the result(s) of the paper to humankind is welcome but not a prerequisite. We welcome original research that: -Improves methods of cybernetics, systems theory and systems research- Improves methods in complexity research- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more areas in the humanities- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more scientific disciplines- Shows novel useful applications of cybernetics and/or systems methods to technical problems- Shows novel applications in the arts