2021
DOI: 10.5755/j01.itc.50.2.28087
|View full text |Cite
|
Sign up to set email alerts
|

Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices

Abstract: Due to the increased disease occurrence rates in humans, the need for the Automated Disease Diagnosis (ADD) systems is also raised. Most of the ADD systems are proposed to support the doctor during the screening and decision making process. This research aims at developing a Computer Aided Disease Diagnosis (CADD) scheme to categorize the brain tumour of 2D MRI slices into Glioblastoma/Glioma class with better accuracy. The main contribution of this research work is to develop a CADD system with Convolutional-… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
41
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 58 publications
(42 citation statements)
references
References 35 publications
1
41
0
Order By: Relevance
“…The architecture of the VGG-UNet and VGG-SegNet is depicted in Figures 5 and 6 , respectively. The necessary information on VGG-UNet and VGG-SegNet can be found in [ 28 32 ].…”
Section: Methodsmentioning
confidence: 99%
“…The architecture of the VGG-UNet and VGG-SegNet is depicted in Figures 5 and 6 , respectively. The necessary information on VGG-UNet and VGG-SegNet can be found in [ 28 32 ].…”
Section: Methodsmentioning
confidence: 99%
“…In this work, two different features such as deep and LBP are extracted. The deep features are extracted from the chosen DLM, like GoogleNet, VGG16, VGG19, ResnEt18, ResNEt50 and ResNet101 [14,19,24,27,29,32]. After getting the necessary features, the LBP features with various weights presented in [7] are adopted, and the extracted features are then reduced to avoid the overfitting problem.…”
Section: Feature Extractionmentioning
confidence: 99%
“…The complete information about the VGG16 can be found in [5,24] and in this work, the following parameters are assigned for the VGG16; conventional image augmentation technique.It is assigned during the learning. The learning rate is fixed as 1e-5, Linear-Dropout-Rate (LDR) based training with and Adam optimization.…”
Section: Feature Optimizationmentioning
confidence: 99%
“…The brain is one of the prime internal organs in human physiology, and the abnormality in the brain is a major medical emergency. The abnormality in the brain causes various behavioural disorders, and appropriate diagnosis and treatment will help to reduce these issues [ 1 , 2 ]. Multiple sclerosis (MS) is one of the brain-connected diseases that happens mainly in the central nervous system (CNS) [ 3 5 ].…”
Section: Introductionmentioning
confidence: 99%