Melanoma Boundaries Detection Techniques using Artificial Intelligence-Reference-Cited by-同舟云学术

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Melanoma Boundaries Detection Techniques using Artificial Intelligence

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
language:
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Author:

Velmurugan K. Jayasakthi¹,Srinivasan P.²,Gayathri A.³,Yuvarani S.⁴

Affiliation:

1. Jeppiaar Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

2. Sona College of Technology,Department of Electronics and Communication Engineering,Salem,Tamil Nadu,India

3. Saveetha Insititute of Medical And Technical Sciences (SIMATS),Saveetha School of Engineering,Department of CSE,Chennai,Tamil Nadu,India

4. Thanthai Hans Roever College (Autonomous),Department of Computer Applications,Perambalur,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073936.pdf?arnumber=10073936

Reference15 articles.

1. Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting

2. Strategies for early melanoma detection: Approaches to the patient with nevi

3. PH² - A dermoscopic image database for research and benchmarking;mendonça;IEEE International Conference on Engineering in Medical and Biology Society,2013

4. Diagnostic accuracy of dermatoscopy for melanocytic and nonmelanocytic pigmented lesions

5. Diagnosing and managing cutaneous pigmented lesions: Primary care physicians versus dermatologists

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