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...

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Detalles Bibliográficos
Autores principales: Le’Clerc Arrastia, Jean, Heilenkötter, Nick, Otero Baguer, Daniel, Hauberg-Lotte, Lena, Boskamp, Tobias, Hetzer, Sonja, Duschner, Nicole, Schaller, Jörg, Maass, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321345/
https://www.ncbi.nlm.nih.gov/pubmed/34460521
http://dx.doi.org/10.3390/jimaging7040071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321345/
https://www.ncbi.nlm.nih.gov/pubmed/34460521
http://dx.doi.org/10.3390/jimaging7040071

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