RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning

Deep-learning algorithms typically fall within the domain of supervised artificial intelligence and are designed to “learn” from annotated data. Deep-learning models require large, diverse training datasets for optimal model convergence. The effort to curate these datasets is widely regarded as a ba...

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Xehetasun bibliografikoak
Argitaratua izan da:J Digit Imaging
Egile Nagusiak: Philbrick, Kenneth A., Weston, Alexander D., Akkus, Zeynettin, Kline, Timothy L., Korfiatis, Panagiotis, Sakinis, Tomas, Kostandy, Petro, Boonrod, Arunnit, Zeinoddini, Atefeh, Takahashi, Naoki, Erickson, Bradley J.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Springer International Publishing 2019
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6646456/
https://ncbi.nlm.nih.gov/pubmed/31089974
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00232-0
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