An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning-Reference-Cited by-同舟云学术

An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Ramakrishnan Rakesh¹,Mohammed Mehmood Ali²,Mohammed Murtuza Ali³,Mohammed Vazeer Ali³,Logeshwaran J.⁴,S Maheswaran⁵

Affiliation:

1. University of The Cumberlands,Department of Information Technology,Union City,CA,USA

2. University of The Cumberlands,Department of Information Technology,Williamsburg,KY,USA

3. Lewis University,Department of Computer & Information System,Illinois,USA

4. Sri Eshwar College of Engineering,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,India

5. Kongu Engineering College,Department of Electronics and Communication Engineering,Erode,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306749.pdf?arnumber=10306749

Reference25 articles.

1. A Refined Approach for Classification and Detection of Melanoma Skin Cancer using Deep Neural Network

2. Diagnosing of dermoscopic images using machine learning approaches for melanoma detection;salam;2020 IEEE 23rd International Multitopic Conference (INMIC),2020

3. deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing

4. The application of deep learning on fast skin cancer diagnosis

5. An Automated Deep Learning based Ensemble Approach for Malignant Melanoma Detection using Dermoscopy Images

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