Detection and classification of brain abnormality by a novel hybrid EfficientNet-deep autoencoder (EF-DA) CNN model from MRI brain images in smart health diagnosis

IF 0.3 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

International Journal of Nanotechnology Pub Date : 2023-01-01 DOI:10.1504/ijnt.2023.10059573

Neelamadhab Padhy, Pradeep Kumar Mallick, Ashish Singh, Dillip Ranjan Nayak

引用次数: 0

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基于高效网络深度自动编码器(EF-DA) CNN模型的MRI脑图像异常检测与分类

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

International Journal of Nanotechnology 工程技术-材料科学：综合

CiteScore

0.60

自引率

20.00%

发文量

审稿时长

6-12 weeks

期刊介绍： IJNT offers a multidisciplinary source of information in all subjects and topics related to Nanotechnology, with fundamental, technological, as well as societal and educational perspectives. Special issues are regularly devoted to research and development of nanotechnology in individual countries and on specific topics.