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Uncertainty-Aware Deep Learning for Segmentation of Primary Tumour and Pathologic Lymph Nodes in Oropharyngeal Cancer: Insights from a Multi-Centre Cohort

2024-03-14

Abstract excerpt

<title>Abstract</title> <p><bold>Purpose</bold> Within the medical field, there is a growing demand for deep learning (DL) models which convey model certainty to the end-user, while maintaining alignment between model accuracy and certainty. For oropharyngeal cancer (OPC) primary tumour (PT) segmentation in PET/CT images, an ensemble-based DL model was developed which outputs tumour probability maps (TPM) showing...

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Literature Corpus work: b2b59209-7008-55ab-aaba-51ecfc94930a
DOI: 10.21203/rs.3.rs-4091632/v1

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