Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated image analysis approaches have great potential to increase precision of diagnosis and help reduce human error. In this study, we utilize several computational methods based on convolutional neural netwo...

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Bibliographic Details
Main Authors: Pegah Khosravi, Ehsan Kazemi, Marcin Imielinski, Olivier Elemento, Iman Hajirasouliha
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:EBioMedicine
Subjects:
Biomarkers
Classification
Convolutional Neural Network
Deep learning
Digital pathology imaging
Tumor heterogeneity
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396417305078

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http://www.sciencedirect.com/science/article/pii/S2352396417305078

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