Leveraging knowledge distillation for lightweight and interpretable deep learning in Ethiopian medicinal plant classification

Deep learning for Ethiopian indigenous medicinal plant species identification and classification

Lightweight Deep Learning Models for Brain Tumor Classification

Differentiating brain tumours by MRI using computer algorithms remains a huge challenge in clinical

Lightweight Deep Learning Models for Efficient Classification of Plant-Parasitic Nematodes on Resource-Constrained Devices

Abstract Agricultural productivity underpins global food security, yet it faces gr

A Lightweight, Interpretable Deep Learning System for Automated Detection of Cervical Adenocarcinoma In Situ (AIS)

Cervical adenocarcinoma in situ (AIS) is a critical premalignant lesion whose accurate histopatholog

haftomdesbele/TRANSFER-LEARNING-AND-KNOWLEDGE-DISTILLATION-for-CHEST-X-RAY-CLASSIFICATION

TRANSFER LEARNING AND KNOWLEDGE DISTILLATION for CHEST X-RAY CLASSIFICATION, This makes the approach

"Curated Dataset of Ethiopian Medicinal Plant Leaf Images for Ethnobotanical Multi-Label Classification"

"This dataset contains 9,600 high-resolution leaf images from 32 distinct Ethiopian medicinal plant