Characterization of Optical Coherence Tomography Images for Colon Lesion Differentiation under Deep Learning

Characterization of Optical Coherence Tomography Images for Colon Lesion Differentiation under Deep Learning

(1) Background: Clinicians demand new tools for early diagnosis and improved detection of colon lesions that are vital for patient prognosis. Optical coherence tomography (OCT) allows microscopical inspection of tissue and might serve as an optical biopsy method that could lead to in-situ diagnosis...

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Bibliographic Details
Main Authors: Cristina L. Saratxaga, Jorge Bote, Juan F. Ortega-Morán, Artzai Picón, Elena Terradillos, Nagore Arbide del Río, Nagore Andraka, Estibaliz Garrote, Olga M. Conde
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
colon cancer
colon polyps
OCT
deep learning
optical biopsy
animal rat models
Online Access:https://www.mdpi.com/2076-3417/11/7/3119

Internet

https://www.mdpi.com/2076-3417/11/7/3119

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