Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions.
Wudi WeiXiaotao HeXiuli BaoGang WangQiang LuoLixiang ChenBaili ZhanJingzhen LaiJunjun JiangLi YeHao LiangPublished in: Mycoses (2023)
DenseNet201 and InceptionV3 are equivalent to the optimal model in these conditions and can be used in clinical settings as decision support tools for the identification and classification of skin lesions of cryptococcus/talaromycosis.