Skin Cancer Classification and Segmentation Using Lenet
Muthulakshmi. R, Caroline Susanna. S, Nivedha. R, Dr. S. Aarthi
Skin Cancer, Lenet Architecture, Deep Learning, Convolutional Neural Networks, Segmentation, Image Processing.
Skin cancer is one of the most prevalent types of cancer worldwide, and early detection plays a crucial role in improving patient outcomes. The classification aspect focuses on distinguishing between benign and malignant skin lesions. Various AI algorithms, including machine learning and deep learning models, are explored for this task. The segmentation aspect addresses the precise delineation of skin lesions from surrounding healthy tissue. AI techniques such as convolutional neural networks (CNNs) and image processing algorithms are utilized for accurate lesion segmentation.
Article Details
Unique Paper ID: 163909

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2574 - 2581
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