Towards subject-level cerebral infarction classification of CT scans using convolutional networks.

Towards subject-level cerebral infarction classification of CT scans using convolutional networks.

Automatic evaluation of 3D volumes is a topic of importance in order to speed up clinical decision making. We describe a method to classify computed tomography scans on volume level for the presence of non-acute cerebral infarction. This is not a trivial task, as the lesions are often similar to oth...

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Bibliographic Details
Main Authors: Manuel Schultheiss, Peter B Noël, Isabelle Riederer, Frank Thiele, Felix K Kopp, Bernhard Renger, Ernst J Rummeny, Franz Pfeiffer, Daniela Pfeiffer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0235765

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https://doi.org/10.1371/journal.pone.0235765

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