Cargando…
Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network
Meningioma is the second most commonly encountered tumor type in the brain. There are three grades of meningioma by the standards of the World Health Organization. Preoperative grade prediction of meningioma is extraordinarily important for clinical treatment planning and prognosis evaluation. In th...
Autores principales: | Zhu, Hong, Fang, Qianhao, He, Hanzhi, Hu, Junfeng, Jiang, Daihong, Xu, Kai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791208/ https://www.ncbi.nlm.nih.gov/pubmed/31662786 http://dx.doi.org/10.1155/2019/7289273 |
Ejemplares similares
-
Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network
por: Vassantachart, April, et al.
Publicado: (2022) -
A Convolutional Neural Network for Automatic Tooth Numbering in Panoramic Images
por: Prados-Privado, María, et al.
Publicado: (2021) -
Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data
por: Afifi, Ahmed, et al.
Publicado: (2020) -
Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology
por: Sehring, Jannik, et al.
Publicado: (2023) -
Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network
por: Liu, Gaoshuang, et al.
Publicado: (2020)