Tumor recognition in endoscopic video images using artificial neural network architectures

The paper focuses on a scheme for automated tumor recognition using images acquired during endoscopic sessions. The proposed recognition system is based on multilayer feed forward neural networks (MFNNs) and uses texture information encoded with corresponding statistical measures that are fed as inp...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Karkanis, S.A., Iakovidis, D.K., Maroulis, D.E., Magoulas, G.D., Theofanous, N.G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Biomedical imaging Cancer Computer architecture Image recognition Image texture analysis Informatics Information systems Intelligent networks Neoplasms
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!