A Hybrid DE-RGSO-ELM for Brain Tumor Tissue Categorization in 3D Magnetic Resonance Images
Medical diagnostics, a technique used for visualizing the internal structures and functions of human body, serves as a scientific tool to assist physicians and involves direct use of digital imaging system analysis. In this scenario, identification of brain tumors is complex in the diagnostic proces...
Main Authors: | K. Kothavari, B. Arunadevi, S. N. Deepa |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/291581 |
Similar Items
-
Brain tissue classification in magnetic resonance images
by: Yazdani, Sapideh, et al.
Published: (2015) -
Segmentation of brain tissue from magnetic resonance images
by: Kapur, Tina
Published: (2007) -
Computerized brain tumor segmentation in magnetic resonance imaging
by: Rosei de Deus Lopes, et al.
Published: (2012-06-01) -
A Research on Brain Tissue Segmentation for Brain Magnetic Resonance Images
by: Geng-Jin Liou, et al.
Published: (2014) -
Feature selection based on hybrid optimization for magnetic resonance imaging brain tumor classification and segmentation
by: Ahmed KHARRAT, et al.
Published: (2019-03-01)