most citedSkin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks

7 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

BanglaMed-QA: A Question Answering System for Healthcare Support in Bangla

Rowzatul Zannat, Abdullah Al Shafi, K. M. Azharul Hasan +1

Medical question answering (QA) systems have become crucial tools for providing reliable health information. But they remain very unexplored for low-resource languages like Bangla…

cs.CL20262 cited

Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset

Rowzatul Zannat, Abdullah Al Shafi, Abdul Muntakim

Increased access to reliable health information is essential for non-English-speaking populations, yet resources in Bangla for disease prediction remain limited. This study address…

cs.CV2026

Performance Analysis of Image Classification on Bangladeshi Datasets

Mohammed Sami Khan, Fabiha Muniat, Rowzatul Zannat

Convolutional Neural Networks (CNNs) have demonstrated remarkable success in image classification tasks; however, the choice between designing a custom CNN from scratch and employi…

cs.CV20257 cited

Skin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks

Abdullah Al Shafi, Abdul Muntakim, Pintu Chandra Shill +2

Skin cancer can be identified by dermoscopic examination and ocular inspection, but early detection significantly increases survival chances. Artificial intelligence (AI), using an…

cs.CL2025

A Structured Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

Abdullah Al Shafi, Rowzatul Zannat, Abdul Muntakim +1

Disease-symptom datasets are significant and in demand for medical research, disease diagnosis, clinical decision-making, and AI-driven health management applications. These datase…