A systematic survey of computer-aided diagnosis in medicine: Past and present developments

计算机科学 数据科学 人工智能
作者
Juri Yanase,Evangelos Triantaphyllou
出处
期刊:Expert Systems With Applications [Elsevier BV]
卷期号:138: 112821-112821 被引量:115
标识
DOI:10.1016/j.eswa.2019.112821
摘要

Abstract Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine. Furthermore, CAD systems in medicine may process clinical data that can be complex and/or massive in size. They do so in order to infer new knowledge from data and use that knowledge to improve their diagnostic performance over time. Therefore, such systems can also be viewed as intelligent systems because they use a feedback mechanism to improve their performance over time. The main aim of the literature survey described in this paper is to provide a comprehensive overview of past and current CAD developments. This survey/review can be of significant value to researchers and professionals in medicine and computer science. There are already some reviews about specific aspects of CAD in medicine. However, this paper focuses on the entire spectrum of the capabilities of CAD systems in medicine. It also identifies the key developments that have led to today's state-of-the-art in this area. It presents an extensive and systematic literature review of CAD in medicine, based on 251 carefully selected publications. While medicine and computer science have advanced dramatically in recent years, each area has also become profoundly more complex. This paper advocates that in order to further develop and improve CAD, it is required to have well-coordinated work among researchers and professionals in these two constituent fields. Finally, this survey helps to highlight areas where there are opportunities to make significant new contributions. This may profoundly impact future research in medicine and in select areas of computer science.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FashionBoy应助清脆乌采纳,获得10
1秒前
欣欣发布了新的文献求助30
2秒前
fang完成签到,获得积分10
2秒前
3秒前
元友容完成签到 ,获得积分10
3秒前
丘比特应助jj采纳,获得10
4秒前
cooper完成签到 ,获得积分10
4秒前
wjx发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
zxlllll发布了新的文献求助10
5秒前
5秒前
5秒前
爆米花应助陌路孤星采纳,获得10
5秒前
dddd关注了科研通微信公众号
5秒前
大个应助小周小周采纳,获得10
5秒前
7秒前
Rondab应助iFaceDOG采纳,获得10
7秒前
7秒前
yu发布了新的文献求助10
9秒前
li完成签到,获得积分10
9秒前
素言发布了新的文献求助10
9秒前
爱喝冰美式完成签到 ,获得积分10
10秒前
10秒前
SHD发布了新的文献求助10
10秒前
上官发布了新的文献求助10
10秒前
11秒前
帅气西牛发布了新的文献求助10
11秒前
11秒前
Suen发布了新的文献求助10
12秒前
此晴可待发布了新的文献求助10
12秒前
12秒前
14秒前
桐桐应助Xenia采纳,获得10
16秒前
wonderful完成签到,获得积分10
16秒前
16秒前
NexusExplorer应助飞云采纳,获得10
16秒前
搞sci完成签到,获得积分20
17秒前
小蘑菇应助嗯嗯采纳,获得10
17秒前
高分求助中
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Effective Learning and Mental Wellbeing 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3974882
求助须知:如何正确求助?哪些是违规求助? 3519431
关于积分的说明 11198315
捐赠科研通 3255698
什么是DOI,文献DOI怎么找? 1797904
邀请新用户注册赠送积分活动 877237
科研通“疑难数据库(出版商)”最低求助积分说明 806219