Skin Lesion Classification using Transfer Learning

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S. Naveen Prasad, E. Logesh, P. Kalpana


The core module of this paper is the classification of skin lesions based on the Transfer Learning method. Malignant Skin lesions are one among the deadliest cancers in today’s world. Analysis of the image dataset boosts the accuracy by a large amount for the classification of malignant skin lesions. The latest solution for classification of skin lesions is the use of a neural network, trained from huge amounts of data, but it greatly blocks the scalability of the neural network. The proposed method for classification of skin lesions is performed with labelled image dataset and EfficientNet as the base model to firmly represent discriminatory data from different visual perceptions.

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