An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision-Reference-Cited by-同舟云学术

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An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision

Published:2023 Issue: Volume:11 Page:137769-137778
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sorour Shaymaa E.¹^ORCID,Hany Amr Abo²^ORCID,Elredeny Mohamed S.³,Sedik Ahmed⁴,Hussien Reda M.²^ORCID

Affiliation:

1. College of Business Administration, King Faisal University, Al-Ahsa, Saudi Arabia

2. Faculty of Computers and Information, Kafrelsheikh University, Kafr El-Sheikh, Egypt

3. Faculty of Computer Science and Engineering, Alamein International University, El Alamein, Egypt

4. Smart Systems Engineering Laboratory, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia

Funder

Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10348570.pdf?arnumber=10348570

Reference49 articles.

1. Evaluation System Framework of Artificial Intelligence Applications in Medical Diagnosis and Treatment

2. The myth of generalisability in clinical research and machine learning in health care

3. A machine learning based data modeling for medical diagnosis

4. Improving skin cancer management with ARTificial intelligence: A pre-post intervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a real-world specialist dermatology setting

5. Artificial intelligence in dermatology for the clinician

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