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<p>The codes required to build and train the model, all the javascript, css and html files as well as the trained model will be made opem-source soon. The app's dynamic and future updates will incorporate the ability to store user data and use them to train the model realtime.</p>
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<p>The codes required to build and train the model, all the javascript, css and html files as well as the trained model will be made opem-source soon. The app's dynamic and future updates will incorporate the ability to store user data and use them to train the model realtime.</p>
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<p>Learn more at our <a rel="noreferrer nofollow" aria-label="GitHub repo (opens in a new tab)" target="_blank" href="https://github.com/ShamsNafisaAli/Monkeypox-Skin-Lesion-Dataset-v2">GitHub repo</a>!</p>
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<p>Learn more at our <a rel="noreferrer nofollow" aria-label="GitHub repo (opens in a new tab)" target="_blank" href="https://github.com/ShamsNafisaAli/Monkeypox-Skin-Lesion-Dataset-v2">GitHub repo</a>!</p>
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<h1>Citation</h1>
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<h1>Citation</h1>
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<p>If this dataset helped your research, please cite the following articles:<br>
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<p>If this dataset helped your research, please cite the following articles:<br>
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Ali, S. N., Ahmed, M. T., Jahan, T., Paul, J., Sani, S. M. Sakeef, Noor, N., Asma, A. N., &amp; Hasan, T. (2024). <strong><a rel="noreferrer nofollow" aria-label="A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity. (opens in a new tab)" target="_blank" href="https://arxiv.org/abs/2306.14169">A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity.</a></strong> Biomedical Signal Processing and Control, 98, 106742.</p>
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Ali, S. N., Ahmed, M. T., Jahan, T., Paul, J., Sani, S. M. Sakeef, Noor, N., Asma, A. N., &amp; Hasan, T. (2024). <strong><a rel="noreferrer nofollow" aria-label="A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity. (opens in a new tab)" target="_blank" href="https://arxiv.org/abs/2306.14169">A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity.</a></strong> Biomedical Signal Processing and Control, 98, 106742.</p>
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<blockquote>
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  <p><a aria-label="@article (opens in a new tab)" target="_blank" href="https://www.kaggle.com/article" data-id="da2b4ba3-3828-4f65-a7ac-4418ef61b1fd" data-user-name="article" class="user-mention">@article</a>{Nafisa2024,<br>
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  <p><a aria-label="@article (opens in a new tab)" target="_blank" href="https://www.kaggle.com/article" data-id="da2b4ba3-3828-4f65-a7ac-4418ef61b1fd" data-user-name="article" class="user-mention">@article</a>{Nafisa2024,<br>
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  title={A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity},<br>
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  title={A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity},<br>
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  author={Ali, Shams Nafisa and Ahmed, Md. Tazuddin and Jahan, Tasnim and Paul, Joydip and Sani, S. M. Sakeef and Noor, Nawshaba and Asma, Anzirun Nahar  and Hasan, Taufiq},<br>
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  author={Ali, Shams Nafisa and Ahmed, Md. Tazuddin and Jahan, Tasnim and Paul, Joydip and Sani, S. M. Sakeef and Noor, Nawshaba and Asma, Anzirun Nahar  and Hasan, Taufiq},<br>
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  journal={Biomedical Signal Processing and Control},<br>
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  journal={Biomedical Signal Processing and Control},<br>
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  volume={98},<br>
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  volume={98},<br>
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  pages={106742},<br>
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  pages={106742},<br>
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  year={2024},<br>
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  year={2024},<br>
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   publisher={Elsevier}<br>
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   publisher={Elsevier}<br>
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  }</p>
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  }</p>
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</blockquote>
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<p>Ali, S. N., Ahmed, M. T., Paul, J., Jahan, T., Sani,  S. M. Sakeef, Noor, N., &amp; Hasan, T. (2022). <strong><a rel="noreferrer nofollow" aria-label="Monkeypox Skin Lesion Detection Using Deep Learning Models: A Preliminary Feasibility Study. (opens in a new tab)" target="_blank" href="https://arxiv.org/abs/2207.03342">Monkeypox Skin Lesion Detection Using Deep Learning Models: A Preliminary Feasibility Study.</a></strong> arXiv preprint arXiv:2207.03342.</p>
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<p>Ali, S. N., Ahmed, M. T., Paul, J., Jahan, T., Sani,  S. M. Sakeef, Noor, N., &amp; Hasan, T. (2022). <strong><a rel="noreferrer nofollow" aria-label="Monkeypox Skin Lesion Detection Using Deep Learning Models: A Preliminary Feasibility Study. (opens in a new tab)" target="_blank" href="https://arxiv.org/abs/2207.03342">Monkeypox Skin Lesion Detection Using Deep Learning Models: A Preliminary Feasibility Study.</a></strong> arXiv preprint arXiv:2207.03342.</p>
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<blockquote>
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  <p><a aria-label="@article (opens in a new tab)" target="_blank" href="https://www.kaggle.com/article" data-id="da23cd36-b9bd-4d58-b49e-a8d39172a4b0" data-user-name="article" class="user-mention">@article</a>{Nafisa2022,<br>
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  <p><a aria-label="@article (opens in a new tab)" target="_blank" href="https://www.kaggle.com/article" data-id="da23cd36-b9bd-4d58-b49e-a8d39172a4b0" data-user-name="article" class="user-mention">@article</a>{Nafisa2022,<br>
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  title={Monkeypox Skin Lesion Detection Using Deep Learning Models: A Preliminary Feasibility Study},<br>
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  title={Monkeypox Skin Lesion Detection Using Deep Learning Models: A Preliminary Feasibility Study},<br>
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  author={Ali, Shams Nafisa and Ahmed, Md. Tazuddin and Paul, Joydip and Jahan, Tasnim and Sani, S. M. Sakeef and Noor, Nawshaba and Hasan, Taufiq},<br>
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  author={Ali, Shams Nafisa and Ahmed, Md. Tazuddin and Paul, Joydip and Jahan, Tasnim and Sani, S. M. Sakeef and Noor, Nawshaba and Hasan, Taufiq},<br>
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  journal={arXiv preprint arXiv:2207.03342},<br>
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  journal={arXiv preprint arXiv:2207.03342},<br>
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  year={2022}<br>
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  year={2022}<br>
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  }</p>
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  }</p>
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</blockquote></div></div></div>
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</div></div></div>