scholarly journals A symmetry based anomaly detection in brain using cellular automata for computer aided diagnosis

2018 ◽  
Vol 14 (1) ◽  
pp. 471
Author(s):  
Nisha V M ◽  
L Jeganathan
Keyword(s):  
Cellular Automata ◽  
Early Stage ◽  
Computer Aided Diagnosis ◽  
Brain Images ◽  
Cellular Automata Model ◽  
Computing Power ◽  
Diagnosis System ◽  
Proposed Model ◽  
Computer Aided ◽  
Aided Diagnosis

Computer aided diagnosis (CAD) is an advancing technology in medical imaging. CAD acts as an additional computing power for doctors to interpret the medical images which leads to a more accurate diagnosis of the disease.CAD system increases the chances of detection of brain lesions by assisting the physicians in decreasing the observational oversight in the early stage of diseases.This paper focuses on the development of a cellular automata based model to find the anomaly prone areas in human brains.Because of the bilateral symmetric nature of human brain, a symmetry based cellular automata model is proposed.An algorithm is designed based on the proposed model to detect the anomaly prone areas in brain images. The proposed model can be a standalone model or it can be incorporated to a sophisticated computer aided diagnosis system. By incorporating asymmetry information into a computer aided diagnosis system, enhances its performance in identifying the anomalies exists in bilaterally symmetrical brain images.

scholarly journals A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI)

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5416
Author(s):  
Fatma El-Zahraa A. El-Gamal ◽  
Mohammed Elmogy ◽  
Ali Mahmoud ◽  
Ahmed Shalaby ◽  
Andrew E. Switala ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neurodegenerative Disorder ◽  
Early Stage ◽  
Brain Regions ◽  
Computer Aided Diagnosis ◽  
Cortical Region ◽  
Diagnosis System ◽  
Computer Aided ◽  
Aided Diagnosis

Alzheimer’s disease (AD) is a neurodegenerative disorder that targets the central nervous system (CNS). Statistics show that more than five million people in America face this disease. Several factors hinder diagnosis at an early stage, in particular, the divergence of 10–15 years between the onset of the underlying neuropathological changes and patients becoming symptomatic. This study surveyed patients with mild cognitive impairment (MCI), who were at risk of conversion to AD, with a local/regional-based computer-aided diagnosis system. The described system allowed for visualization of the disorder’s effect on cerebral cortical regions individually. The CAD system consists of four steps: (1) preprocess the scans and extract the cortex, (2) reconstruct the cortex and extract shape-based features, (3) fuse the extracted features, and (4) perform two levels of diagnosis: cortical region-based followed by global. The experimental results showed an encouraging performance of the proposed system when compared with related work, with a maximum accuracy of 86.30%, specificity 88.33%, and sensitivity 84.88%. Behavioral and cognitive correlations identified brain regions involved in language, executive function/cognition, and memory in MCI subjects, which regions are also involved in the neuropathology of AD.

An automatic Computer-Aided Diagnosis system based on the Multimodal fusion of Breast Cancer (MF-CAD)

2021 ◽  
Vol 69 ◽  
pp. 102914
Author(s):  
Raouia Mokni ◽  
Norhene Gargouri ◽  
Alima Damak ◽  
Dorra Sellami ◽  
Wiem Feki ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Multimodal Fusion ◽  
Diagnosis System ◽  
Automatic Computer ◽  
Computer Aided ◽  
Aided Diagnosis

Computer-aided diagnosis system: A Bayesian hybrid classification method

2013 ◽  
Vol 112 (1) ◽  
pp. 104-113 ◽  
Author(s):  
F. Calle-Alonso ◽  
C.J. Pérez ◽  
J.P. Arias-Nicolás ◽  
J. Martín
Keyword(s):  
Computer Aided Diagnosis ◽  
Classification Method ◽  
Diagnosis System ◽  
System A ◽  
Computer Aided ◽  
Hybrid Classification ◽  
Aided Diagnosis
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