Article

Automated error localisation and correction techniques for deep- learning-based segmentation of 3D MRI sequences based on feature- derived-region aggregation

2025-11-06

Abstract excerpt

<title>Abstract</title> <p>Automatic segmentation using convolutional neural networks (CNNs) has become a key tool in musculoskeletal imaging, offering substantial reductions in processing time. However, concerns about reliability often necessitate manual inspection and correction. We present a method that leverages network-derived uncertainty to automatically identify and localise segmentation errors, reducing t...

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Literature Corpus work: 5234bea6-2bd5-5cb1-888a-d8cccb8996d2
DOI: 10.21203/rs.3.rs-7593191/v1

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