Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	HECKTOR (2. : 2021 : Online) Head and neck tumor segmentation and outcome prediction
1. Verfasser:	Lang, Daniel M. (VerfasserIn)
Weitere Verfasser:	Peeken, Jan C. (VerfasserIn), Combs, Stephanie E. (VerfasserIn), Wilkens, Jan J. (VerfasserIn), Bartzsch, Stefan (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2022
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Bestellen

Titel	Jahr	Verfasser
PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT	2022	Ren, Jintao
3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT Images	2022	Liu, Tao
Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear Model	2022	Ghimire, Kanchan
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer	2022	Meng, Mingyuan
Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer	2022	Salmanpour, Mohammad R.
Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive Ensembling	2022	Murugesan, Gowtham Krishnan
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks	2022	Yousefirizi, Fereshteh
A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck Cancers	2022	Starke, Sebastian
Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT	2022	Huynh, Bao-Ngoc
CCUT-Net: Pixel-Wise Global Context Channel Attention UT-Net for Head and Neck Tumor Segmentation	2022	Wang, Jiao
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images	2022	Andrearczyk, Vincent
Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT Images	2022	Cho, Minjeong
Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems	2022	Fatan, Mehdi
Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients	2022	Juanco-Müller, Ángel Víctor
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data	2022	Saeed, Numan
A Coarse-to-Fine Framework for Head and Neck Tumor Segmentation in CT and PET Images	2022	An, Chengyang
The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention Network	2022	Wang, Guoshuai
The Head and Neck Tumor Segmentation Based on 3D U-Net	2022	Xie, Juanying
Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images	2022	Biase, Alessia De
Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients	2022	Lang, Daniel M.

Alle Artikel auflisten