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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Pubblicato in:Sci Rep
Autori principali: Rajpurkar, Pranav, Park, Allison, Irvin, Jeremy, Chute, Chris, Bereket, Michael, Mastrodicasa, Domenico, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2020
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7054445/
https://ncbi.nlm.nih.gov/pubmed/32127625
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-61055-6
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