An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images-Reference-Cited by-同舟云学术

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An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images

Published:2021-11 Issue: Volume:121 Page:102197
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

del Amor Rocío,Launet Laëtitia,Colomer Adrián,Moscardó Anaïs,Mosquera-Zamudio Andrés,Monteagudo Carlos,Naranjo Valery

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference46 articles.

1. Epidemiological trends in skin cancer;Apalla;Dermatol Pract Concept,2017

2. Cancer statistics, 2017;Siegel;CA: A Cancer Journal for Clinicians,2017

3. Genomic aberrations in spitzoid melanocytic tumours and their implications for diagnosis, prognosis and therapy;Wiesner;Pathology,2016

4. The spitzoid lesion: rethinking spitz tumors, atypical variants, ‘spitzoid melanoma’ and risk assessment;Barnhill;Mod Pathol,2006

5. Discordance in the histopathologic diagnosis of difficult melanocytic neoplasms in the clinical setting;Lodha;J Cutan Pathol,2008

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