Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images

Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images

Abstract Purpose Training machine learning models to segment tumors and other anomalies in medical images is an important step for developing diagnostic tools but generally requires manually annotated ground truth segmentations, which necessitates significant time and resources. We aim to develop a...

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Bibliographic Details
Main Authors: Jay J. Yoo, Khashayar Namdar, Farzad Khalvati
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Imaging
Subjects:
Image segmentation
Weakly supervised learning
Convolutional neural networks
Superpixels
Glioma
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s12880-024-01523-x

Internet

https://doi.org/10.1186/s12880-024-01523-x

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