Artificial intelligence using neural network architecture for radiology (AINNAR): classification of MR imaging sequences.

Purpose: The confusion of MRI sequence names could be solved if MR images were automatically identified after image data acquisition. We revealed the ability of deep learning to classify head MRI sequences.Materials and Methods: Seventy-eight patients with mild cognitive impairment (MCI) having appa...

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Detalles Bibliográficos
Publicado en:Japanese Journal of Radiology Vol. 36; no. 12; pp. 691 - 698
Autores principales: Noguchi, Tomoyuki, Higa, Daichi, Asada, Takashi, Kawata, Yusuke, Machitori, Akihiro, Shida, Yoshitaka, Okafuji, Takashi, Yokoyama, Kota, Uchiyama, Fumiya, Tajima, Tsuyoshi
Formato: diagnostic images pictorial research tables/charts Journal Article
Publicado: Springer Nature Dec2018
Acceso en línea:Ver este registro en EBSCOhost