A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections.

Journal: Journal of the American Academy of Dermatology

Published Date: Nov 1, 2021

No abstract available for this article.

Gabriele Campanella

Weill Cornell Medicine, New York, USA; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.
Kishwer S Nehal

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Erica H Lee

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Anthony Rossi

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Brandon Possum

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Genna Manuel

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Thomas J Fuchs

Weill Cornell Medicine, New York, USA; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA. Electronic address: gac2010@med.cornell.edu.
Klaus J Busam

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Carcinoma, Basal Cell Deep Learning Frozen Sections Humans Mohs Surgery Skin Neoplasms

View on PubMed Access via DOI PubMed (32926979)