Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features.

Xuemei LanGuanchen GuoXiaopo WangQiao YanRuzeng XueYufen LiJiaping ZhuZhengbang DongFei WangGuomin LiXiangxue WangJun XuYiqun Jiang

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2024)

This framework hold potential for future use as a second opinion helping inform diagnosis of BCC, and identify nuclei and TME features related with malignancy and tumor risk stratification.

Keyphrases

deep learning
basal cell carcinoma
convolutional neural network
artificial intelligence
machine learning
current status
optical coherence tomography
human health
climate change