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A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in [18F]FDG PET/CT

2022-12-02

Abstract excerpt

<title>Abstract</title> <p>Purpose: PET-derived metabolic tumor volume (MTV) and total lesion glycolysis of the primary tumor are known to be prognostic of clinical outcome in head and neck cancer (HNC). Including evaluation of lymph node metastases can further increase the prognostic value of PET but accurate manual delineation and classification of all lesions is time-consuming and prone to inter-observer varia...

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Literature Corpus work
f9368ff5-7fe0-539d-be38-1778b1ddb5e0
DOI
10.21203/rs.3.rs-2272723/v1
Open publication

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A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in [18F]FDG PET/CTDOI 10.21203/rs.3.rs-2272723/v1
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