This project aims to identify skin disorders and solve important diagnosis-related issues resulting from their varied appearances and slight variations usually resembling one another. Traditional ...

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Introduction: Early skin disease diagnosis is essential and one of the challenging tasks for a dermatologist. Manual diagnosis by healthcare providers is subjective, costly, and may yield inconsistent ...

Introduction: The rapid growth of the global population and intensive agricultural activities has posed serious environmental challenges. In response, there is an increasing demand for sustainable ...

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...

A Hybrid Deep Learning Model using ViT and EfficientNetB0 for skin lesion classification on the HAM10000 dataset. It leverages data augmentation and early stopping to improve accuracy and reduce ...

The classification report evaluates a model trained on a dataset consisting of 22 types of skin diseases. It includes metrics such as precision, recall, F1-score, and support for each disease, ...