Active Learning Performance in Labeling Radiology Images Is 90% Effective

To train artificial intelligence (AI) systems on radiology images, an image labeling step is necessary. Labeling for radiology images usually involves a human radiologist manually drawing a (polygonal) shape onto the image and attaching a word to it. As datasets are typically large, this task is rep...

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Detalles Bibliográficos
Autores principales: Bangert, Patrick, Moon, Hankyu, Woo, Jae Oh, Didari, Sima, Hao, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365082/
https://www.ncbi.nlm.nih.gov/pubmed/37492167
http://dx.doi.org/10.3389/fradi.2021.748968

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365082/
https://www.ncbi.nlm.nih.gov/pubmed/37492167
http://dx.doi.org/10.3389/fradi.2021.748968

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