Dr. Prabira Kumar Sethy, J. Nayak, M. Bhargavi, Himanshu Sekhar Maharana, S. Behera, S. Rathore
{"title":"Detection of Monkeypox Based on Improved Darknet19","authors":"Dr. Prabira Kumar Sethy, J. Nayak, M. Bhargavi, Himanshu Sekhar Maharana, S. Behera, S. Rathore","doi":"10.1109/I2CT57861.2023.10126170","DOIUrl":null,"url":null,"abstract":"The disease known as monkeypox is caused by an Orthopoxvirus, a zoonotic virus. As a zoonotic virus, it can be transmitted from animals to people. Furthermore, it can be transmitted between people and can also be picked up from the environment and transferred to people. This makes early detection vital to preventing broad population transmission. This study suggests a method for early diagnosis of monkeypox utilising Improved Darknet 19, which is simple, compact, and computationally affordable. The accuracy of the proposed model was measured using a publicly available dataset (https://github.com/mahsan2/Monkeypox-dataset-2022). There was an increase in accuracy to 85.49 percent with the new and upgraded Darknet 19 model.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CT57861.2023.10126170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The disease known as monkeypox is caused by an Orthopoxvirus, a zoonotic virus. As a zoonotic virus, it can be transmitted from animals to people. Furthermore, it can be transmitted between people and can also be picked up from the environment and transferred to people. This makes early detection vital to preventing broad population transmission. This study suggests a method for early diagnosis of monkeypox utilising Improved Darknet 19, which is simple, compact, and computationally affordable. The accuracy of the proposed model was measured using a publicly available dataset (https://github.com/mahsan2/Monkeypox-dataset-2022). There was an increase in accuracy to 85.49 percent with the new and upgraded Darknet 19 model.