Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field

Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field

Accurate segmentation of brain tumor is an indispensable component for cancer diagnosis and treatment. In this paper, we propose a novel brain tumor segmentation method based on multi-cascaded convolutional neural network (MCCNN) and fully connected conditional random fields (CRFs). The segmentation...

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Bibliographic Details
Main Authors: Kai Hu, Qinghai Gan, Yuan Zhang, Shuhua Deng, Fen Xiao, Wei Huang, Chunhong Cao, Xieping Gao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Brain tumor segmentation
convolutional neural network
multi-cascaded convolutional neural network
conditional random field
multi-modality
Online Access:https://ieeexplore.ieee.org/document/8756259/

Internet

https://ieeexplore.ieee.org/document/8756259/

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