Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors
Challenging tasks such as lesion segmentation, classification, and analysis for the assessment of disease progression can be automatically achieved using deep learning (DL)-based algorithms. DL techniques such as 3D convolutional neural networks are trained using heterogeneous volumetric imaging dat...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-01-01
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Series: | Frontiers in Radiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fradi.2023.1336902/full |