Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network

Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network

Purpose: Segmentation of involved lymph nodes on head and neck computed tomography (HN-CT) scans is necessary for the radiotherapy planning of early-stage human papilloma virus (HPV) associated oropharynx cancers (OPC). We aimed to train a deep learning convolutional neural network (DL-CNN) to segme...

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Bibliographic Details
Main Authors: Nicolette Taku, Kareem A. Wahid, Lisanne V. van Dijk, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Clifton D. Fuller, Mohamed A. Naser
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Clinical and Translational Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405630822000520

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http://www.sciencedirect.com/science/article/pii/S2405630822000520

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