Projects

sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning

Hand gesture recognition based on surface electromyography (sEMG) is frequently utilised in artificial prostheses, rehabilitation training, and human-computer interfaces. Although deep learning based classification of sEMG has yielded fairly acceptable. . .

Interpretable Decision Support Model for Breast Cancer Diagnosis

Towards Precision Dosing: AI – Enhanced Model Predictive Control Closed Loop Infusion Pump for ICUs 

Intravenous infusion pumps are used in hospitals to deliver medicines such as antibiotics, insulin, hormones, and certain nutrients. Infusion pumps are designed to deliver a preset infusion to the patient.. . .

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. . .

Scalable AI screening tool using Infrared Imaging for Breast Abnormality Detection

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. . .

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. . .

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. . .

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. . .