AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining

The development of deep learning algorithms for complex tasks in digital medicine has relied on the availability of large labeled training datasets, usually containing hundreds of thousands of examples. The purpose of this study was to develop a 3D deep learning model, AppendiXNet, to detect appendi...

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Detalles Bibliográficos
Autores principales: Rajpurkar, Pranav, Park, Allison, Irvin, Jeremy, Chute, Chris, Bereket, Michael, Mastrodicasa, Domenico, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054445/
https://www.ncbi.nlm.nih.gov/pubmed/32127625
http://dx.doi.org/10.1038/s41598-020-61055-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054445/
https://www.ncbi.nlm.nih.gov/pubmed/32127625
http://dx.doi.org/10.1038/s41598-020-61055-6

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