Cargando…
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor
BACKGROUND: In nasal or sinonasal tumors, orbital invasion beyond periorbita by the tumor is one of the important criteria in the selection of the surgical procedure. We investigated the usefulness of the convolutional neural network (CNN)-based deep learning technique for the diagnosis of orbital i...
Autores principales: | Nakagawa, Junichi, Fujima, Noriyuki, Hirata, Kenji, Tang, Minghui, Tsuneta, Satonori, Suzuki, Jun, Harada, Taisuke, Ikebe, Yohei, Homma, Akihiro, Kano, Satoshi, Minowa, Kazuyuki, Kudo, Kohsuke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502604/ https://www.ncbi.nlm.nih.gov/pubmed/36138422 http://dx.doi.org/10.1186/s40644-022-00492-0 |
Ejemplares similares
-
The utility of diffusion-weighted T2 mapping for the prediction of histological tumor grade in patients with head and neck squamous cell carcinoma
por: Fujima, Noriyuki, et al.
Publicado: (2022) -
Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study
por: Fujima, Noriyuki, et al.
Publicado: (2019) -
Clinical utility of single-shot echo-planar diffusion-weighted imaging using L1-regularized iterative sensitivity encoding in prostate MRI
por: Nishioka, Noriko, et al.
Publicado: (2023) -
The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies
por: Fujima, Noriyuki, et al.
Publicado: (2019) -
Non-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients
por: Fujima, Noriyuki, et al.
Publicado: (2017)