Research Article
Diagnosis and Management of Skin Diseases Using Deep Learning
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357828, author={Ida Mercy K and Harish Aravindh S and Archana P and Aaron Kevin Cameron Theoderaj}, title={Diagnosis and Management of Skin Diseases Using Deep Learning}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={skin disease deep learning convolutional neural networks lenet telemedicine}, doi={10.4108/eai.28-4-2025.2357828} }- Ida Mercy K
Harish Aravindh S
Archana P
Aaron Kevin Cameron Theoderaj
Year: 2025
Diagnosis and Management of Skin Diseases Using Deep Learning
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357828
Abstract
Skin diseases affect millions globally, posing diagnostic and treatment challenges. This study proposes a deep learning approach using Convolutional Neural Networks (CNN) with TensorFlow for automated skin disease diagnosis. Trained on a diverse dataset, the model employs preprocessing techniques and pre-trained models to enhance efficiency and accuracy using LeNet architecture. Evaluation metrics demonstrate promising results, highlighting the potential for applications in telemedicine and dermatology. This research advances AI-driven healthcare, offering innovative solution to the complexities of skin disease diagnosis.
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