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Melanoma Detection Using Deep Learning and Image Processing

Prajwal P, Mr. Manohar Nelli V, Manjunath V Poojari, Nithish TR, Mannan Faiz

Abstract


The number of Melanoma cases has raised the need for accurate diagnostic technologies. Dermoscopic images are effectively analyzed to detect cancerous skin lesions early. Deep Learning methods assist in identifying the most important lesion features for accurate classification. In this paper, we employ Convolutional Neural Networks (CNN) for detecting melanoma and classifying it. This is helpful for dermatologists as it provides second opinion with enhanced speed and accuracy. The system closes the diagnostic gap and supports early intervention, enhancing melanoma patient outcomes.

 


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References


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