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a/README.md |
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b/README.md |
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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., & 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., & 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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|
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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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|
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<p>Ali, S. N., Ahmed, M. T., Paul, J., Jahan, T., Sani, S. M. Sakeef, Noor, N., & 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., & 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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|
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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> |