Open AccessClassification among Image Enhancement Techniques for Computed Tomography scan by using CancerNet neural network
Author(s) -
SatyasangramSahoo et. al.
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i3.2006
Subject(s) - preprocessor , artificial intelligence , computer science , convolutional neural network , computed tomography , artificial neural network , pixel , medical imaging , pattern recognition (psychology) , image (mathematics) , computer vision , radiology , medicine
Enhancement of cancerous images is a vital section of image preprocessing for Computed Tomography imaging classification. The combination of computer added pictures in X-ray is widely used for medical imaging. Basic enhancement techniques like Pixel wise Enhancements and Local operator based operation on computed Tomography (C.T.) scan are mainly used in preprocessing by using an artificially based model of the medical imaging. The study is focused on selecting the better among basic enhancement methods by using the cancerNet neural network structure. Whereas CancerNet is a widely used Convolutional neural Network structure for classification based study for cancerous medical image.