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Fully automated imaging protocol independent system for pituitary adenoma segmentation: A Convolutional Neural Network-based model on sparsely annotated MRI

2023-02-02

Abstract excerpt

This study aims to develop a fully automated imaging protocol independent system for pituitary adenoma segmentation from magnetic resonance imaging (MRI) scans that can work without user interaction and evaluate its accuracy and utility for clinical applications. We trained two independent artificial neural networks on MRI scans of 394 patients. The scans were acquired according to various imaging protocols over t...

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Literature Corpus work: 9a56c8df-64a9-5e9c-a0ff-71f3f89f1660
DOI: 10.21203/rs.3.rs-2533406/v1

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