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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"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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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
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