3D augmentation for volumetric whole heart segmentation

Abstract Data augmentation is a technique usually deployed to mitigate the possible performance limitation from training a neural network model on a limited dataset, especially in the medical domain. This paper presents a study on effects of applying different rotation settings to augment cardiac vo...

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Bibliographic Details
Main Authors: Krittanat Sutassananon, Worapan Kusakunniran, Mehmet Orgun, Thanongchai Siriapisith
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-72469-x