LBO-MPAM：基于瓢虫甲虫优化的多层感知器注意力模块，用于分割皮损和自动定位

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Experimental & Theoretical Artificial Intelligence Pub Date : 2024-01-21 DOI:10.1080/0952813x.2023.2301374

Sellam V, Kannan Natrajan, Senthil Pandi S, Sathish Kumar K

引用次数: 0

摘要

近年来，皮肤癌已成为世界上最危险的疾病。皮肤癌应及早发现，以降低死亡率。利用皮肤镜成像技术，可以对皮肤癌进行早期诊断。

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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LBO-MPAM: Ladybug Beetle Optimization-based multilayer perceptron attention module for segmenting the skin lesion and automatic localization

In recent years, skin cancer has been the most dangerous disease noticed among people worldwide. Skin cancer should be identified earlier to reduce the rate of mortality. Employing dermoscopic imag...

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来源期刊

Journal of Experimental & Theoretical Artificial Intelligence 工程技术-计算机：人工智能

CiteScore

6.10

自引率

4.50%

发文量

审稿时长

>12 weeks

期刊介绍： Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research. The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving