Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy-Reference-Cited by-同舟云学术

Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy

Published:2022-01 Issue:1 Volume:142 Page:97-103
ISSN:0022-202X
Container-title:Journal of Investigative Dermatology
language:en
Short-container-title:Journal of Investigative Dermatology

Author:

Campanella Gabriele^ORCID,Navarrete-Dechent Cristian^ORCID,Liopyris Konstantinos^ORCID,Monnier Jilliana^ORCID,Aleissa Saud^ORCID,Minhas Brahmteg^ORCID,Scope Alon^ORCID,Longo Caterina^ORCID,Guitera Pascale^ORCID,Pellacani Giovanni^ORCID,Kose Kivanc^ORCID,Halpern Allan C.^ORCID,Fuchs Thomas J.^ORCID,Jain Manu^ORCID

Funder

National Cancer Institute

Warren Alpert Foundation

MEMORIAL SLOAN KETTERING CANCER CENTER

National Institutes of Health

Publisher

Elsevier BV

Subject

Cell Biology,Dermatology,Molecular Biology,Biochemistry

Reference22 articles.

1. A multiresolution convolutional neural network with partial label training for annotating reflectance confocal microscopy images of skin;Bozkurt,2018

2. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images;Campanella;Nat Med,2019

3. MSKCC RCM BCC Part 1;Campanella;Mendeley Data,2021

4. MSKCC RCM BCC Part 2;Campanella;Mendeley Data,2021

5. Accuracy of in vivo confocal microscopy for diagnosis of basal cell carcinoma: a comparative study between handheld and wide-probe confocal imaging;Castro;J Eur Acad Dermatol Venereol,2015

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