Detection of Monkeypox Based on Improved Darknet19

Dr. Prabira Kumar Sethy, J. Nayak, M. Bhargavi, Himanshu Sekhar Maharana, S. Behera, S. Rathore
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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.
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基于改进Darknet19的猴痘检测
这种被称为猴痘的疾病是由一种人畜共患病毒——正痘病毒引起的。作为一种人畜共患病毒,它可以从动物传染给人。此外,它可以在人与人之间传播,也可以从环境中获取并转移给人。这使得早期发现对于防止广泛人群传播至关重要。本研究提出了一种利用改进的Darknet 19进行猴痘早期诊断的方法,该方法简单、紧凑、计算负担得起。所提出模型的准确性使用公开可用的数据集(https://github.com/mahsan2/Monkeypox-dataset-2022)进行测量。使用新的和升级的Darknet 19模型,准确率提高到85.49%。
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