Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma

Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma

Accurate and fast assessment of resection margins is an essential part of a dermatopathologist’s clinical routine. In this work, we successfully develop a deep learning method to assist the dermatopathologists by marking critical regions that have a high probability of exhibiting pathological featur...

Full description

Bibliographic Details
Main Authors: Jean Le’Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Imaging
Subjects:
digital pathology
dermatopathology
whole slide image
basal cell carcinoma
skin cancer
deep learning
Online Access:https://www.mdpi.com/2313-433X/7/4/71

Internet

https://www.mdpi.com/2313-433X/7/4/71

Similar Items