用于脑肿瘤识别和分类的线性时间收缩-SL(t)-ViT 方法

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

IETE Journal of Research Pub Date : 2024-08-28 DOI:10.1080/03772063.2024.2370954

A.V.S. Swetha, Manju Bala, Kapil Sharma

引用次数: 0

摘要

由于传统诊断程序耗时长、成本高，近年来，脑肿瘤自动检测和分类系统越来越受欢迎。深度学习（DL）...

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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A Linear time shrinking-SL(t)-ViT approach for brain tumor identification and categorization

Automated brain tumor detection and classification systems have gained popularity in recent years because traditional diagnosis procedures are time-consuming and costly in nature. Deep learning(DL)...

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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.