基于补丁特征提取和分类的脑肿瘤自动检测机器学习方法

IF 0.7 Q4 ENGINEERING, BIOMEDICAL

International Journal of Biomedical Engineering and Technology Pub Date : 2022-01-01 DOI:10.1504/ijbet.2022.10049495

P. Sriramakrishnan, T. Kalaiselvi, P. Kumarashankar

引用次数: 0

摘要

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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Machine learning approach for automatic brain tumour detection using patch-based feature extraction and classification

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来源期刊

International Journal of Biomedical Engineering and Technology ENGINEERING, BIOMEDICAL-

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： IJBET addresses cutting-edge research in the multi-disciplinary area of biomedical engineering and technology. Medical science incorporates scientific/technological advances combining to produce more accurate diagnoses, effective treatments with fewer side effects, and improved ability to prevent disease and provide superior-quality healthcare. A key field here is biomedical engineering/technology, offering a synthesis of physical, chemical, mathematical and computational sciences combined with engineering principles to enhance R&D in biology, medicine, behaviour, and health. Topics covered include Artificial organs Automated patient monitoring Advanced therapeutic and surgical devices Application of expert systems and AI to clinical decision making Biomaterials design Biomechanics of injury and wound healing Blood chemistry sensors Computer modelling of physiologic systems Design of optimal clinical laboratories Medical imaging systems Sports medicine.