Research Article
A Survey on Deep Learning Algorithms for Skin Lesion Classification
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314693, author={Merin Mathew and Arulanand Natarajan}, title={A Survey on Deep Learning Algorithms for Skin Lesion Classification}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={deep learning image segmentation dermoscopy images preprocessing feature extraction skin lesion}, doi={10.4108/eai.7-12-2021.2314693} }- Merin Mathew
Arulanand Natarajan
Year: 2021
A Survey on Deep Learning Algorithms for Skin Lesion Classification
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314693
Abstract
Skin cancer is a severe disease and is often ignored by the people at an early stage. Early detection of melanoma or other skin lesions with the help of dermoscopy images increases the survival rate.Analysis of skin lesion technique still experiences some challenges due to unique features of skin lesion images. This paper reviews the deep learning techniques that have been used for detecting different types of skin lesions. The topics include image preprocessing, image segmentation, feature extraction and classification on dermoscopy images of skin lesions. Deep learning techniques with well preprocessed and segmented lesion images shows better classification of skin lesion images.
Copyright © 2021–2024 EAI
