Skin Cancer Detection and Segmentation Using Convolutional Neural Network Models-Reference-Cited by-同舟云学术

Skin Cancer Detection and Segmentation Using Convolutional Neural Network Models

Published:2022-12-30 Issue:4 Volume:10 Page:984-987
ISSN:2347-470X
Container-title:International Journal of Electrical and Electronics Research
language:en
Short-container-title:IJEER

Author:

S Swetha¹,Saranya S.²,Devaraju M.³

Affiliation:

1. PG Scholar, Communication Systems, Easwari Engineering College, Chennai, India

2. Assistant Professor, Electronics and communication, Easwari Engineering College, Chennai, India

3. Professor, Electronics and communication, Easwari Engineering College, Chennai, India

Abstract

Skin cancer is known as one of the killing diseases in humans around the world. In this paper, melanoma skin cancer images are classified and the cancer regions are segmented using Convolutional Neural Networks (CNN). The skin images are data augmented into high number of skin images for obtaining the high classification accuracy. Then, CNN classifier is used to classify the skin image into either melanoma or normal. Finally, morphological segmentation method is used to segment the cancer regions. The simulation results are obtained by applying the proposed methods on ISIC and HAM dataset skin images.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

Reference11 articles.

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