Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections

Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections

Basal cell carcinoma (BCC), squamous cell carcinoma (SqCC) and melanoma are among the most common cancer types. Correct diagnosis based on histological evaluation after biopsy or excision is paramount for adequate therapy stratification. Deep learning on histological slides has been suggested to com...

Full description

Bibliographic Details
Main Authors: Katharina Kriegsmann, Frithjof Lobers, Christiane Zgorzelski, Jörg Kriegsmann, Charlotte Janßen, Rolf Rüdinger Meliß, Thomas Muley, Ulrich Sack, Georg Steinbuss, Mark Kriegsmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
deep learning
pathology
artificial intelligence
dermatopathology
digital pathology
deep learning - artificial neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1022967/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.1022967/full

Similar Items