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Detection of Angioectasias and Haemorrhages Incorporated into a Multi-Class Classification Tool for the GI Tract Anomalies by Using Binary CNNs
Author(s) -
Christos Barbagiannis,
Alexios Polydorou,
M. Zervakis,
Andreas Polydorou,
Eleftheria Sergaki
Publication year - 2021
Publication title -
journal of biomedical science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1937-688X
pISSN - 1937-6871
DOI - 10.4236/jbise.2021.1412034
Subject(s) - convolutional neural network , artificial intelligence , computer science , classifier (uml) , pattern recognition (psychology) , transfer of learning , deep learning , binary classification , binary number , class (philosophy) , local binary patterns , image (mathematics) , histogram , support vector machine , mathematics , arithmetic

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