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Segmentation and tracking of ovarian tumours from ovarian CT images 
Segmentation and tracking of ovarian tumours from ovarian CT images 

Ovarian tumours are very dangerous for women, and have to be detected early. While MRIs are the definitive way of tumour detection, MRIs are also expensive and rarer, especially in. . .

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Non-Invasive Estimation of Cholesterol through Photoplethysmography leveraging IoMT and AI 
Non-Invasive Estimation of Cholesterol through Photoplethysmography leveraging IoMT and AI 

Cholesterol, a crucial substance in our bodies, and its excessive amounts leads to cardiovascular diseases and strokes. These have contributed highly to the rising health issues and fatality rate. Keeping. . .

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A Machine Learning Approach for Early Prediction of Blood Culture Positivity in Neutropenia Patients Using Medical History and Hematological Parameters
A Machine Learning Approach for Early Prediction of Blood Culture Positivity in Neutropenia Patients Using Medical History and Hematological Parameters

Cancer patients who are treated with multiple chemotherapy sessions exhibit a decline in peripheral neutrophils, which leads to immunodeficiency. Internal infections that affect these patients and are left untreated result. . .

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Segmentation of Breast Tissues and Classification of Breast Based on Breast Tissue Density
Segmentation of Breast Tissues and Classification of Breast Based on Breast Tissue Density

Breast cancer is the most widespread cancer affecting women globally, with several contributing factors, including breast density. Women with denser breasts, characterised by a higher proportion of glandular and fibrous. . .

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Artificial Intelligence-based Video fluoroscopy Analysis for a Deglutology Decision Support System
Artificial Intelligence-based Video fluoroscopy Analysis for a Deglutology Decision Support System

The video fluoroscopic swallowing study (VFSS) is the gold standard for assessing dysphagia. It is an x-ray imaging modality that records the swallowing procedure of patients with different amounts of. . .

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Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 
Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 

Cardiovascular diseases (CVDs) and diabetes are major health concerns globally, contributing significantly to mortality rates. Effective monitoring of these conditions is crucial for timely intervention and management. Traditional methods for. . .

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Registration of ultrasound images of patients suffering hypertrophic cardiomyopathy with Gadolinium-enhanced MRI images
Registration of ultrasound images of patients suffering hypertrophic cardiomyopathy with Gadolinium-enhanced MRI images

Hypertrophic cardiomyopathy (HCM) is a disease in which the walls of the heart become thickened or enlarged. According to a genetic study, mutations in 14 genes code for sarcomere proteins, which. . .

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Prediction of risk of stroke using retinal images 
Prediction of risk of stroke using retinal images 

Currently there is no efficient. sensitive and specific screening methodology for the huge population of India for picking up the population at risk for coronary artery disease and stroke, which. . .

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