UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 11 | November 2024

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Published in:

Volume 11 Issue 1
January-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2401665


Registration ID:
531975

Page Number

g539-g544

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Title

A COMPREHENSIVE GUIDE TO MELANOMA CANCER DETECTION

Abstract

Melanoma, a form of skin cancer arising from melanocytes, presents a considerable public health challenge globally due to its rising incidence and potential for metastasis. Early detection plays a pivotal role in improving patient outcomes, and recent advancements in technology have spurred innovative approaches to enhance diagnostic accuracy. The overview of cutting-edge techniques, focusing on the integration of Machine learning (ML),Augmented Reality(AR) and imaging technologies for melanoma cancer detection. By harnessing advanced ML algorithms, the system attains heightened precision in identifying melanoma, crucial for early intervention. Augmented reality further enriches the diagnostic process, providing clinicians with enhanced visualization tools. The synergy of ML and AR not only elevates accuracy but also opens avenues for innovative methodologies in skin cancer detection. This proposed system contributes to the evolving landscape of medical technology, offering a promising solution to improve melanoma detection and subsequent patient outcomes.

Key Words

Technological advancements, Diagnostic accuracy, Machine learning (ML),Augmented Reality (AR)Imaging technologies ,Visualization tools, Patient outcomes.

Cite This Article

"A COMPREHENSIVE GUIDE TO MELANOMA CANCER DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.g539-g544, January-2024, Available :http://www.jetir.org/papers/JETIR2401665.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A COMPREHENSIVE GUIDE TO MELANOMA CANCER DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppg539-g544, January-2024, Available at : http://www.jetir.org/papers/JETIR2401665.pdf

Publication Details

Published Paper ID: JETIR2401665
Registration ID: 531975
Published In: Volume 11 | Issue 1 | Year January-2024
DOI (Digital Object Identifier):
Page No: g539-g544
Country: Guduvancherry , Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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