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

SharmaMoolchand, GuptaShubbham, DeswalSuman
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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。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
23
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
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