Mohan L. Jayatilake
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View article: A deep learning approach to predict temporal changes of subdural hemorrhage on computed tomography
A deep learning approach to predict temporal changes of subdural hemorrhage on computed tomography Open
Subdural hemorrhage (SDH) is a critical condition requiring prompt assessment of its progression using computed tomography (CT). This study aimed to develop a deep-learning model to predict temporal changes in SDH by leveraging Hounsfield …
View article: Machine learning-based classification model to differentiate subtypes of invasive breast cancer using MRI
Machine learning-based classification model to differentiate subtypes of invasive breast cancer using MRI Open
Introduction Breast cancer is considered one of the most lethal diseases among women worldwide. Invasive Ductal Carcinoma (IDC) and Invasive Lobular Carcinoma (ILC) are the two most prominent subtypes of breast cancer. They differ in epide…
View article: Gliomap: Matlab-Based Gui for MRI Brain Tumor Segmentation and Feature Extraction
Gliomap: Matlab-Based Gui for MRI Brain Tumor Segmentation and Feature Extraction Open
View article: Development and Optimization of a NovelPassive Shim System for Human OrbitofrontalCortex Imaging at 4T MRI
Development and Optimization of a NovelPassive Shim System for Human OrbitofrontalCortex Imaging at 4T MRI Open
Background: The orbitofrontal cortex (OFC) area plays a critical role in humanbrain functions. However, susceptibility differences between paranasal sinuses andnasal cavity tissues often cause local field variations in the OFC region durin…
View article: Development and Optimization of a Novel Passive Shim System for Human Orbitofrontal Cortex Imaging at 4T MRI
Development and Optimization of a Novel Passive Shim System for Human Orbitofrontal Cortex Imaging at 4T MRI Open
The orbitofrontal cortex (OFC) area plays a critical role in human brain functions. However, susceptibility differences between paranasal sinuses and nasal cavity tissues often cause local field variations in the OFC during MRI, resulting …
View article: Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques
Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques Open
View article: Morphometry-based radiomics for predicting therapeutic response in patients with gliomas following radiotherapy
Morphometry-based radiomics for predicting therapeutic response in patients with gliomas following radiotherapy Open
Introduction Gliomas are still considered as challenging in oncologic management despite the developments in treatment approaches. The complete elimination of a glioma might not be possible even after a treatment and assessment of therapeu…
View article: Differentiating healthy and mesial temporal lobe epileptic (MTLE) brains by analyzing the adjusted volume of the hippocampus using Magnetic Resonance Imaging (MRI)
Differentiating healthy and mesial temporal lobe epileptic (MTLE) brains by analyzing the adjusted volume of the hippocampus using Magnetic Resonance Imaging (MRI) Open
The AMJ is a peer-reviewed, triannual health journal published by Anuradhapura Clinical Society (ACS).The Journal strives to be a forum for all health professionals to publish original research and review articles in their area of expertis…
View article: Discriminating Malignant and Benign Brain Tumors Using Texture Features Of MRI-ADC Images
Discriminating Malignant and Benign Brain Tumors Using Texture Features Of MRI-ADC Images Open
Introduction:The diagnosis of brain tumors often involves the use of Magnetic Resonance Imaging (MRI), with the Apparent Diffusion Coefficient (ADC) being a commonly employed technique in current clinical practice.This study seeks to inves…
View article: Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques
Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques Open
View article: Feature Extraction from MRI ADC Images for Brain Tumor Classification Using Machine Learning Techniques
Feature Extraction from MRI ADC Images for Brain Tumor Classification Using Machine Learning Techniques Open
Background: Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) technique that is being routinely used in brain examinations in modern clinical radiology practices. This study focuses on extracting demogra…
View article: Feature Extraction from MRI ADC Images for Brain Tumor Classification Using Machine Learning Techniques
Feature Extraction from MRI ADC Images for Brain Tumor Classification Using Machine Learning Techniques Open
Background: Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) technique that is being routinely used in brain examinations in modern clinical radiology practices. This study focuses on extracting demogra…
View article: Comparison of FASTMAP and <i>B</i><sub>0</sub> Field Map Shimming at 4T: Magnetic Field Mapping Using a Gradient-Echo Pulse Sequence
Comparison of FASTMAP and <i>B</i><sub>0</sub> Field Map Shimming at 4T: Magnetic Field Mapping Using a Gradient-Echo Pulse Sequence Open
Local susceptibility variations result in B0 field inhomogeneities, causing distortions and signal losses in MR imaging. Susceptibility variations become stronger with increasing B0 magnetic field strength. Active shimming is used to gener…
View article: Texture Analysis from 3D Model and Individual Slice Extraction for Tuberculosis MDR Detection, Type Classification and Severity Scoring.
Texture Analysis from 3D Model and Individual Slice Extraction for Tuberculosis MDR Detection, Type Classification and Severity Scoring. Open
Tuberculosis (TB) is a dreaded bacterial infection that affects human lungs. It has been known to mankind since ancient ages. ImageCLEF 2018 Tuberculosis task proposes three challenging subtasks based on Computed Tomography (CT) scan image…