Modified bio-inspired algorithms for diagnosis of breast cancer using aggregation

Q4 Mathematics

International Journal of Innovative Computing and Applications Pub Date : 2021-01-01 DOI:10.1504/IJICA.2021.113615

SharmaMoolchand, GuptaShubbham, DeswalSuman

引用次数: 1

Abstract

The most widely detectable of all cancers found in women is breast cancer. The mortality rate is also the second-highest among women with a 12% growth rate. It is very pertinent to diagnose breast ...

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基于聚合的乳腺癌诊断改进生物启发算法

在女性身上发现的所有癌症中，最容易检测到的是乳腺癌。妇女死亡率也是第二高的，增长率为12%。诊断乳腺是很有针对性的。

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 Innovative Computing and Applications Computer Science-Software

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： IJICA proposes and fosters discussion on all new computing paradigms and corresponding applications to solve real-world problems. It will cover all aspects related to evolutionary computation, quantum-inspired computing, swarm-based computing, neuro-computing, DNA computing and fuzzy computing, as well as other new computing paradigms