ArticleComputational and mathematical methods in medicine2021
Extraction and Evaluation of Corpus Callosum from 2D Brain MRI Slice: A Study with Cuckoo Search Algorithm.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Value of Magnetic Resonance Images and Magnetic Resonance Spectroscopy in Diagnosis of Brain Tumors under Fuzzy C-Means Algorithm.Contrast media & molecular imaging · 2022Article
- Research on the MEG of Depression Patients Based on Multivariate Transfer Entropy.Computational intelligence and neuroscience · 2022Article
- Efficacy Evaluation of Ultrasound with Active Contour Model for Hemodialysis in Children with Renal Failure.Computational and mathematical methods in medicine · 2022Article
- Article
- Analysis of Brain MRI Images Using Improved CornerNet Approach.Diagnostics (Basel, Switzerland) · 2021Article
- A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images.Behavioural neurology · 2021Article
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6 authors.
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Abstract
The work proposes a computer-based diagnosis method (CBDM) to delineate and assess the corpus callosum (CC) segment from the 2-dimensional (2D) brain magnetic resonance images (MRI). The proposed CBDM consists of two parts: (1) preprocessing and (2) postprocessing sections. The preprocessing tools have a multithreshold technique with the chaotic cuckoo search (CCS) algorithm and a preferred threshold procedure. The postprocessing employs a delineation process for extracting the CC section. The proposed CBDM finally extracts the vital CC parameters, such as total brain area (TBA) and CC area (CCA) to classify the considered 2D MRI slices into the control and autism spectrum disorder (ASD) groups. This attempt considers the benchmark brain MRI database which includes ABIDE and MIDAS for the experimental investigation. The results obtained with ABIDE dataset are further confirmed against the fuzzy
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