Detection of bone tumor from bone x-ray images using CNN classifier comparing with D-TREE classifier to improve accuracy rate

This study primarily aims to compare the performance of Convolutional Neural Networks (CNNs) and Decision Trees (D-Trees) in detecting cancer cells in x-ray images of the bone. This study makes use of data that is already accessible to the public in the NTHU Computer Vision Lab database. Both Group...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Kumar, T. Sanjay, Jagadeesh, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Alpha rays Artificial neural networks Cancer Classification Computer vision Decision trees Neural networks Tumors
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!