Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI

PURPOSE: This study aimed to evaluate the accuracy and diagnostic test performance of the U-net-based segmentation method in neuromelanin magnetic resonance imaging (NM-MRI) compared to the established manual segmentation method for Parkinson’s disease (PD) diagnosis. METHODS: NM-MRI datasets from t...

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Detalles Bibliográficos
Publicado en:Neuroradiology
Autores principales: Le Berre, Alice, Kamagata, Koji, Otsuka, Yujiro, Andica, Christina, Hatano, Taku, Saccenti, Laetitia, Ogawa, Takashi, Takeshige-Amano, Haruka, Wada, Akihiko, Suzuki, Michimasa, Hagiwara, Akifumi, Irie, Ryusuke, Hori, Masaaki, Oyama, Genko, Shimo, Yashushi, Umemura, Atsushi, Hattori, Nobutaka, Aoki, Shigeki
Formato: Artigo
Lenguaje:Inglês
Publicado: Springer Berlin Heidelberg 2019
Materias:
Diagnostic Neuroradiology
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6848644/
https://ncbi.nlm.nih.gov/pubmed/31401723
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00234-019-02279-w
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