Cargando…
Automatic Segmentation of MRI of Brain Tumor Using Deep Convolutional Network
Computer-aided diagnosis and treatment of multimodal magnetic resonance imaging (MRI) brain tumor image segmentation has always been a hot and significant topic in the field of medical image processing. Multimodal MRI brain tumor image segmentation utilizes the characteristics of each modal in the M...
Autores principales: | Zhou, Runwei, Hu, Shijun, Ma, Baoxiang, Ma, Bangcheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217534/ https://www.ncbi.nlm.nih.gov/pubmed/35757482 http://dx.doi.org/10.1155/2022/4247631 |
Ejemplares similares
-
Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI
por: Jiao, Han, et al.
Publicado: (2020) -
Fully automatic wound segmentation with deep convolutional neural networks
por: Wang, Chuanbo, et al.
Publicado: (2020) -
Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction
por: Bielak, Lars, et al.
Publicado: (2019) -
An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm
por: Wu, Wentao, et al.
Publicado: (2020) -
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation
por: Wang, Guotai, et al.
Publicado: (2019)