A deep learning approach for medical waste classification

As the demand for health grows, the increase in medical waste generation is gradually outstripping the load. In this paper, we propose a deep learning approach for identification and classification of medical waste. Deep learning is currently the most popular technique in image classification, but i...

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Detalles Bibliográficos
Autores principales: Zhou, Haiying, Yu, Xiangyu, Alhaskawi, Ahmad, Dong, Yanzhao, Wang, Zewei, Jin, Qianjun, Hu, Xianliang, Liu, Zongyu, Kota, Vishnu Goutham, Abdulla, Mohamed Hasan Abdulla Hasan, Ezzi, Sohaib Hasan Abdullah, Qi, Binjie, Li, Juan, Wang, Bixian, Fang, Jianyong, Lu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828884/
https://www.ncbi.nlm.nih.gov/pubmed/35140263
http://dx.doi.org/10.1038/s41598-022-06146-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828884/
https://www.ncbi.nlm.nih.gov/pubmed/35140263
http://dx.doi.org/10.1038/s41598-022-06146-2

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