3 papers
cs.LG2025
StackLiverNet: A Novel Stacked Ensemble Model for Accurate and Interpretable Liver Disease Detection
Md. Ehsanul Haque, S. M. Jahidul Islam, Shakil Mia +4
Liver diseases are a serious health concern in the world, which requires precise and timely diagnosis to enhance the survival chances of patients. The current literature implemente…
eess.IV2025
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…
cs.AI2025
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…