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This study addresses the critical need for accurate brain tumor classification from MRI images for early diagnosis and effective treatment p...
This paper presents a federated learning approach for detecting diabetic retinopathy using data from four distributed institutions. The meth...
This comprehensive review examines both Extractive and Abstractive approaches to Bengali Text Summarization (BTS). While deep learning has s...
Developing AI systems capable of nuanced ethical reasoning is critical as they increasingly influence human decisions, yet existing models o...
An accurate classification of fungal morphology is essential for clinical diagnosis. Centralized deep learning approaches raise concerns abo...
This study investigated the efficacy of pre-trained deep learning models for multi-class classification of eye diseases, namely cataract, di...