AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images

Malaria is a significant public health concern, with ∼95% of cases occurring in Africa, but accurate and timely diagnosis is problematic in remote and low-income areas. Here, we developed an artificial intelligence-based object detection system for malaria diagnosis (AIDMAN). In this system, the YOL...

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Detalles Bibliográficos
Autores principales: Liu, Ruicun, Liu, Tuoyu, Dan, Tingting, Yang, Shan, Li, Yanbing, Luo, Boyu, Zhuang, Yingtan, Fan, Xinyue, Zhang, Xianchao, Cai, Hongmin, Teng, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499858/
https://www.ncbi.nlm.nih.gov/pubmed/37720337
http://dx.doi.org/10.1016/j.patter.2023.100806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499858/
https://www.ncbi.nlm.nih.gov/pubmed/37720337
http://dx.doi.org/10.1016/j.patter.2023.100806

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