2 citations · 2 across the 3 of their papers we have counts for
3 papers
A Modified VGG19-Based Framework for Accurate and Interpretable Real-Time Bone Fracture Detection
Md. Ehsanul Haque, Abrar Fahim, Shamik Dey +4
Early and accurate detection of the bone fracture is paramount to initiating treatment as early as possible and avoiding any delay in patient treatment and outcomes. Interpretation…
Improving Chronic Kidney Disease Detection Efficiency: Fine Tuned CatBoost and Nature-Inspired Algorithms with Explainable AI
Md. Ehsanul Haque, S. M. Jahidul Islam, Jeba Maliha +3
Chronic Kidney Disease (CKD) is a major global health issue which is affecting million people around the world and with increasing rate of mortality. Mitigation of progression of C…
Adaptive Local Binary Pattern: A Novel Feature Descriptor for Enhanced Analysis of Kidney Abnormalities in CT Scan Images using ensemble based Machine Learning Approach
Tahmim Hossain, Faisal Sayed, Solehin Islam
The shortage of nephrologists and the growing public health concern over renal failure have spurred the demand for AI systems capable of autonomously detecting kidney abnormalities…