Bat Optimized CNN For Skin Cancer Detection Using Deep Learning Approach-Reference-Cited by-同舟云学术

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Bat Optimized CNN For Skin Cancer Detection Using Deep Learning Approach

Published:2023-12-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE)
language:
Short-container-title:

Author:

Sathish S.¹,Shanmugapriyan J.²,Malathy N.³,Shruthi K.⁴

Affiliation:

1. Veltech Multitech Dr Rangarajan Dr Sakunthala Engineering College,Department of Biomedical Engineering,Tamilnadu,India

2. NSN College of Engineering,Department of Electrical and Electronics Engineering,Tamilnadu,India

3. J. N. N Institute of Engineering,Department of Electronics and Communication Engineering,Chennai,India

4. Easwari Engineering College,Department of Biomedical Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433897/10433900/10433947.pdf?arnumber=10433947

Reference15 articles.

1. Skin cancer detection from dermoscopic images using deep learning and fuzzy k ‐means clustering

2. Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection

3. Skin Cancer Classification Using Image Processing and Machine Learning

4. Analysis of dermoscopy images by using ABCD rule for early detection of skin cancer

5. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

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