UGC Approved Journal no 63975(19)

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

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2307928


Registration ID:
522366

Page Number

j194-j201

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Title

Skin Cancer Detection Using Deep Neural Network

Abstract

Skin cancer is an arising global health problem with 123,000 melanoma patients. We centralized a MobileNet model containing on associating 12,80,000 images from 2014 ImageNet Challenge. Captured on 10015 skin cancer images of HAM10000 dataset convicts the ability of transfer learning and deep convolutional neural network. The appeared average of accuracy, weighted median of recall, and weighted norm of scope deviation were found to be 89 percent, 83 percent, and 83 percent, respectively. Deep learning is the associative enigma which has the functions to assist skin specialists in managing at critical stages for epidermis malignancy disease identification.

Key Words

Carcinoma Cell, Heatmap, MobileNet, Deep Learning.

Cite This Article

"Skin Cancer Detection Using Deep Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.j194-j201, July-2023, Available :http://www.jetir.org/papers/JETIR2307928.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 Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppj194-j201, July-2023, Available at : http://www.jetir.org/papers/JETIR2307928.pdf

Publication Details

Published Paper ID: JETIR2307928
Registration ID: 522366
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier):
Page No: j194-j201
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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