Performance of a Machine Learning Algorithm on Lesions with a High Preoperative Suspicion of Invasive Melanoma.

IF 3.5 4区医学 Q1 DERMATOLOGY Acta dermato-venereologica Pub Date : 2024-07-18 DOI:10.2340/actadv.v104.40023

Filippos Giannopoulos, Martin Gillstedt, Sofia Lindskogen, John Paoli, Sam Polesie

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机器学习算法在术前高度怀疑为浸润性黑色素瘤的病变上的表现。

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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来源期刊

Acta dermato-venereologica 医学-皮肤病学

CiteScore

4.90

自引率

2.80%

发文量

210

审稿时长

6-12 weeks

期刊介绍： Acta Dermato-Venereologica publishes high-quality manuscripts in English in the field of Dermatology and Venereology, dealing with new observations on basic dermatological and venereological research, as well as clinical investigations. Each volume also features a number of Review articles in special areas, as well as short Letters to the Editor to stimulate debate and to disseminate important clinical observations. Acta Dermato-Venereologica has rapid publication times and is amply illustrated with a large number of colour photographs.

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