Deep Learning Facilitates Distinguishing Histologic Subtypes of Pulmonary Neuroendocrine Tumors on Digital Whole-Slide Images

Deep Learning Facilitates Distinguishing Histologic Subtypes of Pulmonary Neuroendocrine Tumors on Digital Whole-Slide Images

The histological distinction of lung neuroendocrine carcinoma, including small cell lung carcinoma (SCLC), large cell neuroendocrine carcinoma (LCNEC) and atypical carcinoid (AC), can be challenging in some cases, while bearing prognostic and therapeutic significance. To assist pathologists with the...

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Bibliographic Details
Main Authors: Marius Ilié, Jonathan Benzaquen, Paul Tourniaire, Simon Heeke, Nicholas Ayache, Hervé Delingette, Elodie Long-Mira, Sandra Lassalle, Marame Hamila, Julien Fayada, Josiane Otto, Charlotte Cohen, Abel Gomez-Caro, Jean-Philippe Berthet, Charles-Hugo Marquette, Véronique Hofman, Christophe Bontoux, Paul Hofman
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Cancers
Subjects:
lung
neuroendocrine carcinoma
deep learning
CNN
HALO-AI
Online Access:https://www.mdpi.com/2072-6694/14/7/1740

Internet

https://www.mdpi.com/2072-6694/14/7/1740

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