深度学习在猴痘研究中的应用：进展、挑战与机遇
Deep learning for Mpox: Advances, challenges, and opportunities.
机构信息
Division of Dermatology, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Division of Dermatology, Dell Medical School at the University of Texas at Austin, Austin, TX, USA.
出版信息
Med. 2023 May 12;4(5):283-284. doi: 10.1016/j.medj.2023.04.002.
Abstract
Although deep-learning algorithms in dermatology have shown promise in diagnosing skin cancers, less is known about potential applications for the diagnosis of infectious diseases. In a recent publication in Nature Medicine, Thieme et al. develop a deep-learning algorithm to classify skin lesions from Mpox virus (MPXV) infections..
摘要
尽管皮肤科的深度学习算法在诊断皮肤癌方面显示出了前景，但对于其在诊断传染病方面的潜在应用知之甚少。在最近发表在《自然医学》杂志上的一篇文章中，Thieme 等人开发了一种深度学习算法来对猴痘病毒（MPXV）感染引起的皮肤损伤进行分类。
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