Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning

Diagnosis based on histopathology for skin cancer detection is today’s gold standard and relies on the presence or absence of biomarkers and cellular atypia. However it suffers drawbacks: it requires a strong expertise and is time-consuming. Moreover the notion of atypia or dysplasia of the visible...

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Bibliographic Details
Published in:	Scientific reports Vol. 12; no. 1; pp. 481 - 11
Main Authors:	Fischman, Sébastien, Pérez-Anker, Javiera, Tognetti, Linda, Di Naro, Angelo, Suppa, Mariano, Cinotti, Elisa, Viel, Théo, Monnier, Jilliana, Rubegni, Pietro, del Marmol, Véronique, Malvehy, Josep, Puig, Susana, Dubois, Arnaud, Perrot, Jean-Luc
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 10.01.2022 Nature Publishing Group Nature Portfolio
Subjects:	631/67/1813 639/624/1075 639/705/117 692/53/2421 Adult Aged Aged, 80 and over Algorithms Biopsy Deep Learning Diagnosis Dysplasia Female Histological Techniques Histology Histopathology Humanities and Social Sciences Humans Imaging, Three-Dimensional Keratinocytes - chemistry Keratinocytes - pathology Lesions Male Middle Aged multidisciplinary Optics Pathology - instrumentation Pathology - methods Physics Science Science (multidisciplinary) Skin - diagnostic imaging Skin - pathology Skin cancer Skin diseases Skin lesions Skin Neoplasms - diagnosis Skin Neoplasms - diagnostic imaging Skin Neoplasms - pathology Tomography, Optical Coherence - methods
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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