Strategies for tackling the class imbalance problem of oropharyngeal primary tumor segmentation on magnetic resonance imaging

Strategies for tackling the class imbalance problem of oropharyngeal primary tumor segmentation on magnetic resonance imaging

Background and purpose: Contouring oropharyngeal primary tumors in radiotherapy is currently done manually which is time-consuming. Autocontouring techniques based on deep learning methods are a desirable alternative, but these methods can render suboptimal results when the structure to segment is c...

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Bibliographic Details
Main Authors: Roque Rodríguez Outeiral, Paula Bos, Hedda J. van der Hulst, Abrahim Al-Mamgani, Bas Jasperse, Rita Simões, Uulke A. van der Heide
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Oropharyngeal cancer
Convolutional neural network
Segmentation
Class imbalance, MRI
Two-stage approach
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000744

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http://www.sciencedirect.com/science/article/pii/S2405631622000744

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