A5085002318- Brain Tumor Detection and Classification
- AI in cancer detection
- Gene expression and cancer classification
- Peripheral Artery Disease Management
- Diagnosis and Treatment of Venous Diseases
- Radiomics and Machine Learning in Medical Imaging
- Liver Disease Diagnosis and Treatment
- Venous Thromboembolism Diagnosis and Management
- Medical Image Segmentation Techniques
- Bioinformatics and Genomic Networks
- Advanced Image and Video Retrieval Techniques
- Gene Regulatory Network Analysis
- Infrared Target Detection Methodologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Image and Object Detection Techniques
NHS Greater Glasgow and Clyde
2021
Glasgow Royal Infirmary
2020
University of Glasgow
2016-2017
National University of Computer and Emerging Sciences
2014
Image processing plays a vital role in the early detection and diagnosis of Hepatocellular Carcinoma (HCC). In this paper, we present computational intelligence based Computer-Aided Diagnosis (CAD) system that helps medical specialists detect diagnose HCC its initial stages. The proposed CAD comprises following stages: image enhancement, liver segmentation, feature extraction characterization by means classifiers. framework, Discrete Wavelet Transform (DWT) Support Vector Machine (SVM)...
We aimed to investigate the safety of endovascular procedures undertaken in a single outpatient center located rural, underserved area. Endovascular for Peripheral Arterial Disease (PAD) have become increasingly common settings; their is yet be determined area with no stand-by vascular surgeon on site.We undertook retrospective case review investigation and management lower extremity PAD between December 2012 August 2015. Patients were classified by Rutherford score, degree stenosis length...
Machine learning (ML)-based algorithms are playing an important role in cancer diagnosis and increasingly being used to aid clinical decision-making. However, these commonly operate as 'black boxes' it is unclear how decisions derived. Recently, techniques have been applied help us understand specific ML models work explain the rational for outputs. This study aims determine why a given type of has certain phenotypic characteristic. Cancer results cellular dysregulation thorough...