当前位置: X-MOL 学术Appl. Soft Comput. › 论文详情
Variants of Artificial Bee Colony algorithm and its applications in medical image processing
Applied Soft Computing ( IF 5.472 ) Pub Date : 2020-10-17 , DOI: 10.1016/j.asoc.2020.106799
Şaban Öztürk; Rehan Ahmad; Nadeem Akhtar

The Artificial Bee Colony (ABC) technique is a highly effective method of optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm is increasing after artificial intelligence, and automatic decision-making techniques are popularized in almost every field. The analysis of images obtained from medical imaging devices attracts the attention of artificial intelligence researchers because of the importance of these images for human health. Although the ABC algorithm is very humid for medical image analysis, there is no comprehensive literature review of medical image analysis techniques. This study includes a comprehensive survey of academic studies including classification, enhancement, clustering, and segmentation of medical images using ABC. The academic studies between the years 2010–2020 are examined, and 95 studies are presented in total. 42 of these studies consist of medical image analysis studies. Of the selected studies, 20 studies are related to image classification, 15 studies are related to image enhancement, 18 academic studies are related to image clustering, and 42 studies are related to image segmentation methods. The findings of this study show that the ABC method for medical image analysis has positive effects on classification, segmentation, clustering, and enhancement methods, and the use of the ABC method has become more common. We hope that this study will help new researchers to use the ABC method.

更新日期:2020-10-19

 

全部期刊列表>>
Springer 纳米技术权威期刊征稿
全球视野覆盖
施普林格·自然新
chemistry
3分钟学术视频演讲大赛
物理学研究前沿热点精选期刊推荐
自然职位线上招聘会
欢迎报名注册2020量子在线大会
化学领域亟待解决的问题
材料学研究精选新
GIANT
ACS ES&T Engineering
ACS ES&T Water
屿渡论文,编辑服务
ACS Publications填问卷
阿拉丁试剂right
麻省大学
西北大学
湖南大学
华东师范大学
王要兵
化学所
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
天合科研
x-mol收录
陆军军医大学
杨财广
廖矿标
试剂库存
down
wechat
bug