Analysis on the characterization of multiphoton microscopy images for malignant neoplastic colon lesion detection under deep learning methods

Analysis on the characterization of multiphoton microscopy images for malignant neoplastic colon lesion detection under deep learning methods

Background: Colorectal cancer has a high incidence rate worldwide, with over 1.8 million new cases and 880,792 deaths in 2018. Fortunately, its early detection significantly increases the survival rate, reaching a cure rate of 90% when diagnosed at a localized stage. Colonoscopy is the gold standard...

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Bibliographic Details
Main Authors: Elena Terradillos, Cristina L Saratxaga, Sara Mattana, Riccardo Cicchi, Francesco S Pavone, Nagore Andraka, Benjamin J Glover, Nagore Arbide, Jacques Velasco, Mª Carmen Etxezarraga, Artzai Picon
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Pathology Informatics
Subjects:
colorectal polyps
convolutional neural network
dataset
multiphoton microscopy
optical biopsy
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2021;volume=12;issue=1;spage=27;epage=27;aulast=Terradillos

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2021;volume=12;issue=1;spage=27;epage=27;aulast=Terradillos

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