Cargando…
MR Image Classification for Brain Tumor Texture Based on Pseudo-Label Learning and Optimized Feature Extraction
Brain tumors are the deadliest and most difficult to treat of all forms of cancer. Preoperative classification of brain tumors is conducive to the development of corresponding treatment plan. Take pituitary tumors as an example. Precisely judging the image data of pituitary tumor texture before surg...
Autores principales: | Xu, Qianqian, Xu, Huachang, Liu, Jie, Zhou, Mingxia, Li, Min, Xu, Jinhui, Zhu, Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001102/ https://www.ncbi.nlm.nih.gov/pubmed/35419084 http://dx.doi.org/10.1155/2022/7746991 |
Ejemplares similares
-
Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction
por: Zhu, Hong, et al.
Publicado: (2020) -
Texture image classification based on a pseudo-parabolic diffusion model
por: Vieira, Jardel, et al.
Publicado: (2022) -
Differentiation of Pituitary Adenoma from Rathke Cleft Cyst: Combining MR Image Features with Texture Features
por: Zhang, Yang, et al.
Publicado: (2019) -
Texture Analysis in Brain Tumor MR Imaging
por: Kunimatsu, Akira, et al.
Publicado: (2021) -
Cirrhosis Classification Based on Texture Classification of Random Features
por: Liu, Hui, et al.
Publicado: (2014)