Classification of head and neck cancer from PET images using convolutional neural networks

Classification of head and neck cancer from PET images using convolutional neural networks

Abstract The aim of this study was to develop a convolutional neural network (CNN) for classifying positron emission tomography (PET) images of patients with and without head and neck squamous cell carcinoma (HNSCC) and other types of head and neck cancer. A PET/magnetic resonance imaging scan with...

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Bibliographic Details
Main Authors: Henri Hellström, Joonas Liedes, Oona Rainio, Simona Malaspina, Jukka Kemppainen, Riku Klén
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-37603-1

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https://doi.org/10.1038/s41598-023-37603-1

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