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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM23712

DERMATIFY: Skin Disease Detection using ML

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM23712

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AT

Aastha Tiwari

HS

Himanshu Sahu

PKP

Prem Kumar Painkra

AKS

Ankush Kumar Singh

KK

Kamlesh Korche

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Abstract

Dermatify is a project aimed at developing a machine learning model for automated skin lesion detection and classification. The objective of the project is to create a reliable and accurate tool for dermatologists and healthcare professionals to aid in the diagnosis and treatment of skin diseases. The machine learning model is trained on a large dataset of skin lesion images and utilizes state-of-the-art image processing and classification techniques. The model is designed to identify various types of skin lesions, including malignant and benign ones, with high accuracy. The ultimate goal of Dermatify is to improve the efficiency and accuracy of skin lesion diagnosis, leading to better patient outcomes and healthcare cost savings.

KEYWORDS

detection diagnosis machine learning

Cite This Article

Aastha Tiwari, Himanshu Sahu, Prem Kumar Painkra, Ankush Kumar Singh, Kamlesh Korche, "DERMATIFY: Skin Disease Detection using ML," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023.

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Publication Date

6/17/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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