MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation

MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation

The annotation of brain lesion images is a key step in clinical diagnosis and treatment of a wide spectrum of brain diseases. In recent years, segmentation methods based on deep learning have gained unprecedented popularity, leveraging a large amount of data with high-quality voxel-level annotations...

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Bibliographic Details
Main Authors: Gaoxiang Chen, Jintao Ru, Yilin Zhou, Islem Rekik, Zhifang Pan, Xiaoming Liu, Yezhi Lin, Beichen Lu, Jialin Shi
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:NeuroImage
Subjects:
Brain Lesion Segmentation
Semi-Supervised Learning
MRI
Deep Learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921008417

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http://www.sciencedirect.com/science/article/pii/S1053811921008417

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