Automatic Delineation of Laryngeal and Hypopharyngeal Gross Tumor Volume: A Pathologically and Clinically Validated Deep Learning Model

KM Kuijer - 2023 - essay.utwente.nl
Radiotherapy is essential for laryngeal and hypopharyngeal cancer treatment, requiring
accurate gross tumor volume (GTV) delineation for optimal outcomes. Manual GTV …

[HTML][HTML] Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information

H Bollen, S Willems, M Wegge, F Maes… - Radiotherapy and …, 2023 - Elsevier
Purpose Gross tumor volume (GTV) delineation for head and neck cancer (HNC) radiation
therapy planning is time consuming and prone to interobserver variability (IOV). The aim of …

Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net

Z Guo, N Guo, K Gong, Q Li - Medical Imaging 2019 …, 2019 - spiedigitallibrary.org
Accurate delineation of gross tumor volume (GTV) is essential for head and neck cancer
radiotherapy. Complexity of morphology and potential image artifacts usually cause …

Deep learning and harmonization of multi-institutional data for automated gross tumor and nodal segmentation for oropharyngeal cancer

D Plana, PK Guntaka, JM Qian, P Zhou… - International Journal of …, 2021 - redjournal.org
Purpose/Objective (s) Automated tumor segmentation for oropharyngeal cancer (OPC) has
the potential to improve treatment planning, response assessment, and clinical translation of …

Clinical target volume segmentation based on gross tumor volume using deep learning for head and neck cancer treatment

S Kihara, Y Koike, H Takegawa, Y Anetai, S Nakamura… - Medical …, 2023 - Elsevier
Accurate clinical target volume (CTV) delineation is important for head and neck intensity-
modulated radiation therapy. However, delineation is time-consuming and susceptible to …

Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma

Y Zhang, X Ye, J Ge, D Guo, D Zheng, H Yu… - International Journal of …, 2023 - redjournal.org
Purpose/Objective (s) The delineation of primary gross tumor volume (GTV) of
nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical …

Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation

J Ren, JG Eriksen, J Nijkamp, SS Korreman - Acta Oncologica, 2021 - Taylor & Francis
Background Manual delineation of gross tumor volume (GTV) is essential for radiotherapy
treatment planning, but it is time-consuming and suffers inter-observer variability (IOV). In …

Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma

L Lin, Q Dou, YM Jin, GQ Zhou, YQ Tang, WL Chen… - Radiology, 2019 - pubs.rsna.org
Background Nasopharyngeal carcinoma (NPC) may be cured with radiation therapy. Tumor
proximity to critical structures demands accuracy in tumor delineation to avoid toxicities from …

Deep learning algorithm for auto-delineation of high-risk oropharyngeal clinical target volumes with built-in dice similarity coefficient parameter optimization function

CE Cardenas, RE McCarroll, LE Court… - International Journal of …, 2018 - Elsevier
Purpose Automating and standardizing the contouring of clinical target volumes (CTVs) can
reduce interphysician variability, which is one of the largest sources of uncertainty in head …

Comprehensive Quantitative Evaluation of Inter-observer Delineation Performance of MR-guided Delineation of Oropharyngeal Gross Tumor Volumes and High-risk …

CE Cardenas, SE Blinde, SP Ng, ASR Mohamed… - medRxiv, 2022 - medrxiv.org
Purpose Tumor and target volume manual delineation remains a challenging task in head
and neck cancer radiotherapy. The purpose of this study is to conduct a multi-institutional …