Diagnostic assessment of deep learning for melanocytic lesions using whole-slide pathological images

BACKGROUND: Deep learning has the potential to improve diagnostic accuracy and efficiency in medical image recognition. In the current study, we developed a deep learning algorithm and assessed its performance in discriminating melanoma from nevus using whole-slide pathological images (WSIs). METHOD...

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Detalles Bibliográficos
Autores principales: Ba, Wei, Wang, Rui, Yin, Guang, Song, Zhigang, Zou, Jinyi, Zhong, Cheng, Yang, Jingrun, Yu, Guanzhen, Yang, Hongyu, Zhang, Litao, Li, Chengxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254118/
https://www.ncbi.nlm.nih.gov/pubmed/34192650
http://dx.doi.org/10.1016/j.tranon.2021.101161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254118/
https://www.ncbi.nlm.nih.gov/pubmed/34192650
http://dx.doi.org/10.1016/j.tranon.2021.101161

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