Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods
por: Nishio, Mizuho, et al.
Publicado: (2020) -
Bayesian multidimensional nominal response model for observer study of radiologists
por: Nishio, Mizuho, et al.
Publicado: (2022) -
Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance
por: Nishio, Mizuho, et al.
Publicado: (2023) -
Physiological skin FDG uptake: A quantitative and regional distribution assessment using PET/MRI
por: Nogami, Munenobu, et al.
Publicado: (2021) -
Unsupervised-learning-based method for chest MRI–CT transformation using structure constrained unsupervised generative attention networks
por: Matsuo, Hidetoshi, et al.
Publicado: (2022)