Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions

Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions
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DOI:
10.1111/myc.13598
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发表时间:
2023-05
期刊:
影响因子:
4.9
通讯作者:
Wudi Wei;Xiaotao He;Xiuli Bao;Gang Wang;Qiang Luo;Lixiang Chen;Baili Zhan;Jingzhen Lai;Junjun Jiang;L. Ye;Hao Liang
Wudi Wei;Xiaotao He;Xiuli Bao;Gang Wang;Qiang Luo;Lixiang Chen;Baili Zhan;Jingzhen Lai;Junjun Jiang;L. Ye;Hao Liang
中科院分区:
医学2区
文献类型:
--
作者:
Wudi Wei;Xiaotao He;Xiuli Bao;Gang Wang;Qiang Luo;Lixiang Chen;Baili Zhan;Jingzhen Lai;Junjun Jiang;L. Ye;Hao Liang

文献摘要

相似文献

隐球菌病和踝菌病被称为“被忽视的流行病”,因为它们的高病死率和低关注。临床上,这两种真菌病的皮损相似,容易误诊。因此,本研究旨在开发一种算法来识别隐球菌病/踝真菌病皮肤病变。
Cryptococcosis and talaromycosis are known as ‘neglected epidemics’ due to their high case fatality rates and low concern. Clinically, the skin lesions of the two fungal diseases are similar and easily misdiagnosed. Therefore, this study aims to develop an algorithm to identify cryptococcosis/talaromycosis skin lesions.