Detection of Angioectasias and Haemorrhages Incorporated into a Multi-Class Classification Tool for the GI Tract Anomalies by Using Binary CNNs

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.net/journal/jbise
E-mail: [email protected]

Citations

"Detection of Angioectasias and Haemorrhages Incorporated into a Multi-Class Classification Tool for the GI Tract Anomalies by Using Binary CNNs"
written by Christos Barbagiannis, Alexios Polydorou, Michail Zervakis, Andreas Polydorou, Eleftheria Sergaki,
published by Journal of Biomedical Science and Engineering, Vol.14 No.12, 2021

has been cited by the following article(s):

[1]	Revealing the Boundaries of Selected Gastro-Intestinal (GI) Organs by Implementing CNNs in Endoscopic Capsule Images
	Diagnostics, 2023

[2]	Revealing the Boundaries of Selected Gastro-Intestinal (GI) Organs by Implementing CNNs in Endoscopic Capsule Images. Diagnostics 2023, 13, 865
	2023