A5058609681- Cardiac Valve Diseases and Treatments
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- Pneumocystis jirovecii pneumonia detection and treatment
- Systemic Lupus Erythematosus Research
- COVID-19 diagnosis using AI
- Lymphadenopathy Diagnosis and Analysis
- Advanced X-ray and CT Imaging
- Cardiac Imaging and Diagnostics
- Atrial Fibrillation Management and Outcomes
- Nutrition, Genetics, and Disease
- HIV-related health complications and treatments
- Mycobacterium research and diagnosis
- Lipoproteins and Cardiovascular Health
- Folate and B Vitamins Research
Indian Institute of Technology Roorkee
2022-2023
Haukeland University Hospital
2015
Treatment success for atrial fibrillation (AF) has been suboptimal until now, even though it is among the most frequent types of sustained arrhythmia. Magnetic resonance imaging (MRI), a noninvasive modality, can boost treatment efficacy. However, only few automatic techniques segmenting atria in MRIs are available. With recent improvements deep learning methodologies, fully automated, efficient, and generalized left segmentation from desirable. Apical basal slice also severe concern...
Cardiac magnetic resonance imaging (CMRI) segmentation transforms cardiac MR images into semantic regions to define the left ventricle cavity, right and myocardium. CMRI provides ventricles' volume, mass, ejection fraction, playing a significant role in disease diagnosis. This paper aims propose novel deep supervision U-Net-based architecture enhance performance. It presents deeply supervised W-Net, which creates another path parallel with decoder architecture. The output of every upsampling...
BACKGROUND: Lymphadenopathy is a common clinical presentation in HIV/AIDS patients and conventional lymph node biopsy the standard procedure for diagnosis of this condition but incurs high risk healthcare providers. OBJECTIVES: The aim study was to analyze cytological patterns lesions compare results Fine Needle Aspiration Cytology (FNAC) with biopsy, along correlation findings CD4 count. MATERIALS AND METHODS: This prospective comparison an alternative patients, (FNAC), method. population...
The domain of deep learning stimulates medical image analysis, which is a catalyst scientific research and an essential element healthcare. Since semantic segmentation techniques empower processing quantitative determination in various applications, designing dedicated solution challenging heavily reliant on input data characteristics hardware constraints. Cardiac magnetic resonance imaging provides three heart structures, left ventricle (LV) cavity, myocardium (MYO), right (RV) cavity. In...
Majority of patients who experience a Coronary Heart disease event have one or more the conventional risk factors for atherosclerosis and so do many people not yet experienced such an event.Thus predictive models based on lower than desired accuracy, providing stimulus to search new predict accurately CAD.In this regard newer like homocysteine, Lp (a), insulin resistances are important ones called as 'novel factors'.The study was undertaken find prediction CAD by homocysteine in comparison...