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An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM

Published: 24 October 2022 Publication History

Abstract

Cancer is the group of many diseases. Among the groups of cancers, skin cancer is the most common form. It makes skin grow in a disorganized manner and forms tumours. These tumours can be categorized as either benign or malignant. Benign tumours are non-cancerous whereas malignant tumors are cancerous.Skin cancer diagnosis is done by skin biopsy,which takes samples of skin tissues which are then examined by the dermatologist using a microscope. Adopting an automated approach for detection of skin cancer from skin lesion images taken from biopsy using computerised methods may help in faster and accurate diagnosis of skin. Because of the increasing death rate, it is necessary to focus on the early detection of cancer.In this work we have proposed an approach of classifying benign (non-cancerous) and malignant (cancerous) skin lesions by employing deep learning techniques and Support Vector Machine (SVM) on image dataset archived by International Skin Image Collaboration (ISIC).

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Cited By

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  • (2023)AB-DeepLabv3+: An Encoder-Decoder Method with Attention Mechanism for Polyp SegmentationProceedings of the 2023 Fifteenth International Conference on Contemporary Computing10.1145/3607947.3607997(262-268)Online publication date: 3-Aug-2023
  • (2023)Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA)10.1109/DICTA60407.2023.00041(245-250)Online publication date: 28-Nov-2023

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cover image ACM Other conferences
IC3-2022: Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing
August 2022
710 pages
ISBN:9781450396752
DOI:10.1145/3549206
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 October 2022

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Author Tags

  1. Deep Learning
  2. Skin Cancer
  3. Support Vector Machine

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  • (2023)AB-DeepLabv3+: An Encoder-Decoder Method with Attention Mechanism for Polyp SegmentationProceedings of the 2023 Fifteenth International Conference on Contemporary Computing10.1145/3607947.3607997(262-268)Online publication date: 3-Aug-2023
  • (2023)Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA)10.1109/DICTA60407.2023.00041(245-250)Online publication date: 28-Nov-2023

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