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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Impact Factor : 8.76

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Paper Title: Detection of Monkeypox Disease and Prediction of its Level
Authors Name: Nikunj Shrimali , Dr. Bela Shrimali
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IJNRD_184359
Published Paper Id: IJNRD2211238
Published In: Volume 7 Issue 11, November-2022
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Abstract: As monkeypox spreads quickly around the world, it has become a public health concern since it has been detected in more than 75 countries so far. In an early stage, it is difficult to differentiate monkeypox from Chickenpox, Cowpox, Smallpox, and Measles due to its similarity to these diseases. These similarities make Monkeypox detection challenging for healthcare professionals by examining the visual appearance of lesions and rashes. In the medical sciences, artificial intelligence is now extensively used and machine learning (ML) has demonstrated tremendous potential in image-based diagnostics such as cancer detection, tumor cell identification, and COVID-19 patient detection. As such, the purpose of our research was to develop a deep-learning model to detect monkeypox disease based on images of monkeypox. In this procedure, we use A monkeypox image from the "Monkeypox Skin Lesion Dataset (MSLD)" dataset (publicly available) is used for this study. Modified Mobilenet-v2, VGG-19, and ResNet50 models are used in this paper to detect monkeypox diseases using Convolutional Neural Networks. These classifiers allow automatic classification of healthy, monkeypox, and other skin damages given a close image of them.
Keywords: Monkeypox disease, Deep Learning, Convolutional Neural Networks, MSLD dataset, Image Processing
Cite Article: "Detection of Monkeypox Disease and Prediction of its Level", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 11, page no.c288-c292, November-2022, Available :http://www.ijnrd.org/papers/IJNRD2211238.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2211238
Registration ID: 184359
Published In: Volume 7 Issue 11, November-2022
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Page No: c288-c292
Country: Ahmedabad, Gujarat, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2211238
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2211238
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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