1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2026
MalariAI: A Label-Resilient Decoupled Framework for Annotation-Agnostic Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears
Kaysarul Anas Apurba, Md Hasibul Hasan, Mohammed Ali +1
Automated malaria diagnosis from blood smear microscopy is a critical global health AI challenge; expert scarcity remains the primary diagnostic bottleneck. Existing deep learning…
eess.SP2019★ 1 cited
Estimation of Blood Glucose Level of Type-2 Diabetes Patients using Smartphone Video
Tauseef Tasin Chowdhury, Tahmin Mishma, Md. Saeem Osman +1
This work proposes a smartphone video-based approach for the estimation of blood glucose in a non-invasive way. Videos using smartphone camera are collected from the tip of the sub…