Efficient cellular annotation of histopathology slides with real-time AI augmentation

In recent years, a steady swell of biological image data has driven rapid progress in healthcare applications of computer vision and machine learning. To make sense of this data, scientists often rely on detailed annotations from domain experts for training artificial intelligence (AI) algorithms. T...

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Detalles Bibliográficos
Autores principales: Diao, James A., Chen, Richard J., Kvedar, Joseph C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608794/
https://www.ncbi.nlm.nih.gov/pubmed/34811479
http://dx.doi.org/10.1038/s41746-021-00534-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608794/
https://www.ncbi.nlm.nih.gov/pubmed/34811479
http://dx.doi.org/10.1038/s41746-021-00534-0

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