Mobile Nets: Prediction of Black Fungus Disease Through Image Classification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3312-5_12
Reference12 articles.
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2. Daria, S., Asaduzzaman, M., Shahriar, M., Islam, M.R.: The massive attack of COVID-19 in India is a big concern for Bangladesh: the key focus should be given to the interconnection between the countries. Int. J. Health Plann. Manag. (2021). https://doi.org/10.1002/hpm.3245.]
3. Moona, A.A., Islam, M.R.: Mucormycosis or black fungus is a new fright in India during the COVID-19 pandemic: associated risk factors and actionable items. Public Health Practice (Oxford, England) 2, 100153 (2021). https://doi.org/10.1016/j.puhip.2021.100153
4. Karthikeyan, S., Ramkumar, G, Aravindkumar, S., Tamilselvi, M., Ramesh, S., Ranjith, A.: A novel deep learning-based black fungus disease identification using modified hybrid learning methodology. Contrast Media Mol. Imaging, Hindawi, (2022). ISSN 1555–4309. https://doi.org/10.1155/2022/4352730
5. Agnes Shivani, S., Ramkumar, G., Nanammal, V., Thandaiah Prabu, R.: Exploration of morphological procedure on the recognition of fundus image. J. Comput. Theor. Nanosci. 17(5), 2014–2020 (2020)
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