[PDF] google.com

PET normalizations to improve deep learning auto-segmentation of head and neck tumors in 3D PET/CT

J Ren, BN Huynh, AR Groendahl, O Tomic… - 3D Head and Neck …, 2021 - Springer
Auto-segmentation of head and neck cancer (HNC) primary gross tumor volume (GTVt) is a
necessary but challenging process for radiotherapy treatment planning and radiomics …
被引用次数：15 相关文章 所有 7 个版本
[PDF] hes-so.ch

Fully automatic head and neck cancer prognosis prediction in PET/CT

P Fontaine, V Andrearczyk, V Oreiller, J Castelli… - Multimodal Learning for …, 2021 - Springer
Several recent PET/CT radiomics studies have shown promising results for the prediction of
patient outcomes in Head and Neck (H&N) cancer. These studies, however, are most often …
被引用次数：9 相关文章 所有 7 个版本
[PDF] researchgate.net

Head and neck primary tumor and lymph node auto-segmentation for PET/CT scans

A Jain, J Huang, Y Ravipati, G Cain, A Boyd… - 3D Head and Neck …, 2022 - Springer
Segmentation of head and neck (H &N) cancer primary tumor and lymph nodes on medical
imaging is a routine part of radiation treatment planning for patients and may lead to …
被引用次数：7 相关文章 所有 5 个版本

Automatic head and neck tumor segmentation and progression free survival analysis on PET/CT images

Y Yuan, S Adabi, X Wang - 3D Head and Neck Tumor Segmentation in …, 2021 - Springer
Automatic segmentation is an essential but challenging step for extracting quantitative
imaging bio-markers for characterizing head and neck tumor in tumor detection, diagnosis …
被引用次数：5 相关文章 所有 2 个版本
[PDF] google.com

Comparing deep learning and conventional machine learning for outcome prediction of head and neck cancer in PET/CT

BN Huynh, J Ren, AR Groendahl, O Tomic… - 3D Head and Neck …, 2021 - Springer
Prediction of cancer treatment outcomes based on baseline patient characteristics is a
challenging but necessary step towards more personalized treatments with the aim of …
被引用次数：5 相关文章 所有 6 个版本
[HTML] nih.gov

Tumor segmentation in patients with head and neck cancers using deep learning based-on multi-modality PET/CT images

MA Naser, LV van Dijk, R He, KA Wahid… - 3D Head and Neck …, 2020 - Springer
Segmentation of head and neck cancer (HNC) primary tumors on medical images is an
essential, yet labor-intensive, aspect of radiotherapy. PET/CT imaging offers a unique ability …
被引用次数：28 相关文章 所有 8 个版本

Head and neck tumor segmentation with deeply-supervised 3D UNet and progression-free survival prediction with linear model

K Ghimire, Q Chen, X Feng - 3D Head and Neck Tumor Segmentation in …, 2021 - Springer
Accurate segmentation of Head and Neck (H&N) tumor has important clinical relevance in
disease characterization, thereby holding a strong potential for better cancer treatment …
被引用次数：6 相关文章 所有 4 个版本
[HTML] nih.gov

Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images

V Andrearczyk, V Oreiller, S Boughdad… - 3D head and neck tumor …, 2021 - Springer
This paper presents an overview of the second edition of the HEad and neCK TumOR
(HECKTOR) challenge, organized as a satellite event of the 24th International Conference …
被引用次数：163 相关文章 所有 18 个版本
[PDF] researchgate.net

Fully automated gross tumor volume delineation from PET in head and neck cancer using deep learning algorithms

I Shiri, H Arabi, A Sanaat, E Jenabi… - Clinical Nuclear …, 2021 - journals.lww.com
Purpose The availability of automated, accurate, and robust gross tumor volume (GTV)
segmentation algorithms is critical for the management of head and neck cancer (HNC) …
被引用次数：44 相关文章 所有 7 个版本
[HTML] nih.gov

Head and neck cancer primary tumor auto segmentation using model ensembling of deep learning in PET/CT images

MA Naser, KA Wahid, LV van Dijk, R He… - 3D Head and Neck …, 2021 - Springer
Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an
unmet need that has the potential to improve radiation oncology workflows. In this study, we …
被引用次数：24 相关文章 所有 12 个版本