Evolutionary gravitational neocognitron neural network optimized with marine predators optimization algorithm for MRI brain tumor classification

IF 1.6 4区生物学 Q3 BIOLOGY

Electromagnetic Biology and Medicine Pub Date : 2024-01-13 DOI:10.1080/15368378.2024.2301952

A. Lakshmi, Manjunathan Alagarsamy, A. Anbarasa Pandian, Dinesh Paramathi Mani

引用次数: 0

Abstract

Magnetic resonance imaging (MRI) is a powerful tool for tumor diagnosis in human brain. Here, the MRI images are considered to detect the brain tumor and classify the regions as meningioma, glioma,...

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用海洋捕食者优化算法优化的进化引力新认知神经网络用于核磁共振成像脑肿瘤分类

磁共振成像（MRI）是诊断人脑肿瘤的有力工具。在这里，磁共振成像图像被用来检测脑肿瘤，并将肿瘤区域划分为脑膜瘤、胶质瘤、...

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

Electromagnetic Biology and Medicine 生物-生物物理

CiteScore

3.60

自引率

11.80%

发文量

审稿时长

>12 weeks

期刊介绍： Aims & Scope: Electromagnetic Biology and Medicine, publishes peer-reviewed research articles on the biological effects and medical applications of non-ionizing electromagnetic fields (from extremely-low frequency to radiofrequency). Topic examples include in vitro and in vivo studies, epidemiological investigation, mechanism and mode of interaction between non-ionizing electromagnetic fields and biological systems. In addition to publishing original articles, the journal also publishes meeting summaries and reports, and reviews on selected topics.