Assessment of Expert-Level Automated Detection of Plasmodium falciparum in Digitized Thin Blood Smear Images

IMPORTANCE: Decades of effort have been devoted to establishing an automated microscopic diagnosis of malaria, but there are challenges in achieving expert-level performance in real-world clinical settings because publicly available annotated data for benchmark and validation are required. OBJECTIVE...

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Detalles Bibliográficos
Autores principales: Kuo, Po-Chen, Cheng, Hao-Yuan, Chen, Pi-Fang, Liu, Yu-Lun, Kang, Martin, Kuo, Min-Chu, Hsu, Shih-Fen, Lu, Hsin-Jung, Hong, Stefan, Su, Chan-Hung, Liu, Ding-Ping, Tu, Yi-Chin, Chuang, Jen-Hsiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049085/
https://www.ncbi.nlm.nih.gov/pubmed/32108895
http://dx.doi.org/10.1001/jamanetworkopen.2020.0206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049085/
https://www.ncbi.nlm.nih.gov/pubmed/32108895
http://dx.doi.org/10.1001/jamanetworkopen.2020.0206

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