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@article{172618,
        author = {Parikshit Singh and Hetashriben D. Kansariwala and Dubey Sundaram Manojkumar and Satyanarayan Sahoo},
        title = {Skin Lesion Analysis for Monkeypox Detection: A Deep  Learning Perspective},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {366-370},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172618},
        abstract = {Recent developments have highlighted the escalating global concern surrounding mpox (formerly known as monkeypox). In August 2024, the World Health Organization (WHO) declared the surge of mpox cases in the Democratic Republic of the Congo (DRC) and its spread to neighbouring countries as a public health emergency of international concern. This declaration underscores the critical need for enhanced surveillance and rapid diagnostic methods to curb the virus's transmission.
The emergence of a new variant, clade Ib, has been particularly alarming. While this strain appears to be less deadly, it is spreading rapidly, with cases reported in diverse locations such as Kenya and Sweden. The rapid transmission of this variant has raised concerns about its potential to become a global health threat.
In response to the escalating situation, the WHO declared mpox a global health emergency in August 2024. This declaration aims to accelerate vaccine access and public health interventions, especially in lower-income regions, to contain the outbreak.
Given the evolving nature of the mpox outbreak and the emergence of new variants, there is an urgent need for effective diagnostic tools. Deep learning techniques have shown promise in the detection of mpox through the analysis of skin images, offering a potential solution for rapid and accurate diagnosis.
In this study, we aim to develop a deep learning model for the detection of mpox using skin image datasets. By leveraging advanced image analysis techniques, we hope to contribute to the timely identification and management of mpox cases, thereby aiding in the global effort to control the spread of this re-emerging infectious disease.},
        keywords = {},
        month = {February},
        }