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Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Recent developments in deep learning have enabled data-driven algorithms that can reach human-level performance and beyond. The development and deployment of medical image analysis methods have several challenges, including data heterogeneity due to population diversity and different device manufact...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767933/ https://www.ncbi.nlm.nih.gov/pubmed/36539473 http://dx.doi.org/10.1038/s41746-022-00733-3 |