Cargando…
Prediction of age and sex from paranasal sinus images using a deep learning network
This study was conducted to develop a convolutional neural network (CNN)-based model to predict the sex and age of patients by identifying unique unknown features from paranasal sinus (PNS) X-ray images. We employed a retrospective study design and used anonymized patient imaging data. Two CNN model...
Autores principales: | Kim, Dong-Kyu, Cho, Bum-Joo, Lee, Myung-Je, Kim, Ju Han |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899822/ https://www.ncbi.nlm.nih.gov/pubmed/33607821 http://dx.doi.org/10.1097/MD.0000000000024756 |
Ejemplares similares
-
Multiple metastases of clear-cell renal cell carcinoma to different region of the nasal cavity and paranasal sinus 3 times successively: A case report and literature review
por: Zhang, Na, et al.
Publicado: (2018) -
Pseudo-malignant paranasal invasive aspergillosis showing bone destruction and FDG uptake on PET/CT: A case report
por: Tsuda, Takeshi, et al.
Publicado: (2022) -
Endoscopic coblation treatment for congenital pyriform sinus fistula in children
por: Chen, Wei, et al.
Publicado: (2021) -
The efficacy and safety of several interventions of corticosteroids for CRSwNP patients after endoscope sinus surgery: A protocol for systematic review and network meta-analysis
por: Zhang, Lan, et al.
Publicado: (2022) -
Gelomyrtol for acute or chronic sinusitis: A protocol for systematic review and meta-analysis
por: Wu, Yongcan, et al.
Publicado: (2020)