计算机辅助黑色素瘤分类:全面调查

IF 9.7 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Archives of Computational Methods in Engineering Pub Date : 2024-06-06 DOI:10.1007/s11831-024-10138-y
Uma Sharma, Preeti Aggarwal, Ajay Mittal
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引用次数: 0

摘要

在过去的几十年里,皮肤癌的发病率一直在上升。细胞的异常生长形成皮肤损伤,如果不及早治疗,可能会发展成癌症。随着技术的进步,计算机辅助或远程诊断是可能的,但需要大量的努力。需要对已完成的工作进行一次专门调查,以巩固关于迄今所采用的各种方法的资料,并确定今后的机会。在本文中,我们回顾了主要的工作,已经提出了自动诊断黑色素瘤使用皮肤镜图像。
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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Computer-Aided Classification of Melanoma: A Comprehensive Survey

The prevalence of skin cancer has been increasing for the last few decades. Abnormal growth of cells forms skin lesions, which if not treated at the earliest, may turn into cancer. With the advancement in technology, computer-aided or remote diagnosis is possible, but a lot of efforts are required. An exclusive survey of the work done is required to consolidate the information regarding the various methods adopted to date and to ascertain future opportunities. In this paper, we have reviewed major works that have been proposed to automate the diagnosis of melanoma using dermoscopic images.

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来源期刊
CiteScore
19.80
自引率
4.10%
发文量
153
审稿时长
>12 weeks
期刊介绍: Archives of Computational Methods in Engineering Aim and Scope: Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication. Review Format: Reviews published in the journal offer: A survey of current literature Critical exposition of topics in their full complexity By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.
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