Texture analysis in magnetic resonance imaging: review and considerations for future applications

A Larroza, V Bodí, D Moratal - Assessment of cellular and …, 2016 - books.google.com
Texture analysis is a technique used for the quantification of image texture. It has been
successfully used in many fields, and in the past years it has been applied in magnetic …

Investigation of image processing techniques in mri based medical image analysis methods and validation metrics for brain tumor

T Kalaiselvi, S Karthigai Selvi - Current Medical Imaging, 2018 - ingentaconnect.com
Background: This paper reviews the recent techniques employed to process brain tumor
images from Magnetic Resonance (MR) images. Automation in tumor and its sub …

A wavelet deep belief network-based classifier for medical images

A Khatami, A Khosravi, CP Lim… - … Conference, ICONIP 2016 …, 2016 - Springer
Accurately and quickly classifying high dimensional data using machine learning and data
mining techniques is problematic and challenging. This paper proposes an efficient and …

[PDF][PDF] Brain tumor classification based on clustered discrete cosine transform in compressed domain

V Anitha, S Murugavalli - Journal of Computer Science, 2014 - Citeseer
This study presents a novel method to classify the brain tumors by means of efficient and
integrated methods so as to increase the classification accuracy. In conventional systems …

[PDF][PDF] Image retrieval using certain block based difference of inverse probability and certain block based variation of local correlation coefficients integrated with …

B Thenkalvi, S Murugavalli - Journal of Computer Science, 2014 - Citeseer
ABSTRACT Content Based Image Retrieval (CBIR) is an evolving topic under image
processing. Retrieval on medical images plays a vital role in saving mankind. Medical …

[PDF][PDF] Automatic detection of brain tumor from magnetic resonance images (MRI) using ANN based feature extraction

T Chithambaram, K Perumal - International Journal of Advanced …, 2021 - academia.edu
ABSTRACT Magnetic Resonance Images (MRI) plays an important role detecting brain
tumors. Detecting brain tumor from MRI helps to diagnose earlier and to take decision in …

Comparative Study: Artificial Neural Networks Training Functions for Brain Tumor Segmentation for MRI Images

T Chithambaram, K Perumal - Journal of Computational and …, 2020 - ingentaconnect.com
Brain tumor detection from medical images is essential to diagnose earlier and to take
decision in treatment planning. Magnetic Resonance Images (MRI) is frequently preferred …

[引用][C] LOCALE DETECTION, IDENTIFICATION AND SIGNIFICANT FEATURE EXTRACTION OF BRAIN TUMOR BY MANIPULATING MR IMAGES