Skin Cancer Classification and Segmentation Using Lenet

Skin Cancer Classification and Segmentation Using Lenet
Author(s):
Muthulakshmi. R, Caroline Susanna. S, Nivedha. R, Dr. S. Aarthi
Keywords:
Skin Cancer, Lenet Architecture, Deep Learning, Convolutional Neural Networks, Segmentation, Image Processing.
Abstract
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
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org