An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images

An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images

Abstract Purpose This study focuses on assessing the performance of active learning techniques to train a brain MRI glioma segmentation model. Methods The publicly available training dataset provided for the 2021 RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge was used in this study, con...

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Bibliographic Details
Main Authors: Andrew S. Boehringer, Amirhossein Sanaat, Hossein Arabi, Habib Zaidi
Format: Article
Language:English
Published: SpringerOpen 2023-08-01
Series:Insights into Imaging
Subjects:
MRI
Gliomas
Segmentation
Deep learning
Active learning
Online Access:https://doi.org/10.1186/s13244-023-01487-6

Internet

https://doi.org/10.1186/s13244-023-01487-6

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