DeepSkinNet: A Deep Learning Model for Skin Cancer Detection-Reference-Cited by-同舟云学术

DeepSkinNet: A Deep Learning Model for Skin Cancer Detection

Published:2022-12-07 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Signal Processing and Information Security (ICSPIS)
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Author:

Abhiram A P¹,Anzar S M²,Panthakkan Alavikunhu³

Affiliation:

1. TKM College of Engineering,Centre for Artificial Intelligence,Kollam,India-691005

2. TKM College of Engineering,Department of Electronics and Communication,Kollam,India-691005

3. University of Dubai,College of Engineering and IT,U.A.E.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10002418/10002384/10002541.pdf?arnumber=10002541

Reference12 articles.

1. Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models

2. Melanoma skin cancer detection using deep learning and classical machine learning techniques: A hybrid approach

3. A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

4. A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients

5. Dermatologist-like feature extraction from skin lesion for improved asymmetry classification in ph 2 database;chakravorty;2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2016

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