UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFX06103


Registration ID:
516910

Page Number

593-597

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Title

Skin Cancer Detection Using Deep Learning

Abstract

Melanoma is a type of skin cancer which detected in early stages can be highly curable. Melanoma is a from a skin cancer that begins in the skin cells (melanocytes) that control the pigment in your skin. Spread of pigment from the border of a spot into surrounding skin. Redness or a new swelling beyond the border of the mole. Change in sensation, such as itchiness, tenderness, or pain. Change in the surface of a mole scaliness, oozing, bleeding, or the appearance of a lump or bump. Its detection to naked human eye is hardly possible, so the algorithms like CNN are used by computers for melanoma detection. The non-invasive medical computer vision or medical image processing plays increasingly significant role in clinical diagnosis of different diseases. Such techniques provide an automatic image analysis tool for an accurate and fast evaluation of the lesion. Melanoma the deadliest form of skin cancer, is considered as the less common form of skin cancers but it is the most fatal. As mentioned above, it can quickly spread to other parts of the body. Melanoma arises through malignant transformation of melanocytes which are derived from the neural crest neoplasia. Melanoma causes 55 500 cancer deaths annually which is 0.7%.

Key Words

SVM, Android internet, malicious application, Skin Cancer, Image Processing)

Cite This Article

"Skin Cancer Detection Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.593-597, May-2023, Available :http://www.jetir.org/papers/JETIRFX06103.pdf

ISSN


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

"Skin Cancer Detection Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp593-597, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06103.pdf

Publication Details

Published Paper ID: JETIRFX06103
Registration ID: 516910
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: 593-597
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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