Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRI

We hypothesized that, in discrimination between benign and malignant parotid gland tumors, high diagnostic accuracy could be obtained with a small amount of imbalanced data when anomaly detection (AD) was combined with deep leaning (DL) model and the L(2)-constrained softmax loss. The purpose of thi...

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Detalles Bibliográficos
Autores principales: Matsuo, Hidetoshi, Nishio, Mizuho, Kanda, Tomonori, Kojita, Yasuyuki, Kono, Atsushi K., Hori, Masatoshi, Teshima, Masanori, Otsuki, Naoki, Nibu, Ken-ichi, Murakami, Takamichi
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/PMC7652888/
https://www.ncbi.nlm.nih.gov/pubmed/33168936
http://dx.doi.org/10.1038/s41598-020-76389-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652888/
https://www.ncbi.nlm.nih.gov/pubmed/33168936
http://dx.doi.org/10.1038/s41598-020-76389-4

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