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The aim is to develop an automated system that accurately classifies various skin diseases using deep learning techniques.

April 24, 2026Iconic Research and Engineering Journals

Skin Disease Type Detector Using Deep Learning

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The aim is to develop an automated system that accurately classifies various skin diseases using deep learning techniques.
Develop a deep learning model leveraging convolutional neural networks for image classification.
Implement an image processing pipeline for feature extraction and classification of skin lesions.
Create a user-friendly interface for clinicians and patients to upload images for diagnosis.
The system shows significant improvements in classification accuracy compared to traditional methods.
Misdiagnosis rates are reduced through the use of deep learning techniques.
The model can incorporate new disease categories without extensive retraining.

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Automated system classifies skin conditions through advanced image analysis, indicating improved diagnostic accuracy.

Sharma et al. (2026) studied this question.

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