Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks

Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:HECKTOR (2. : 2021 : Online) Head and neck tumor segmentation and outcome prediction
1. Verfasser: Yousefirizi, Fereshteh (VerfasserIn)
Weitere Verfasser: Janzen, Ian (VerfasserIn), Dubljevic, Natalia (VerfasserIn), Liu, Yueh-En (VerfasserIn), Hill, Chloe (VerfasserIn), MacAulay, Calum (VerfasserIn), Rahmim, Arman (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
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
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model 2022 Qayyum, Abdul
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images 2022 Naser, Mohamed A.
PET/CT Head and Neck Tumor Segmentation and Progression Free Survival Prediction Using Deep and Machine Learning Techniques 2022 Martinez-Larraz, Alfonso
Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT Images 2022 Yuan, Yading
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with Attention 2022 Bourigault, Emmanuelle
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
Alle Artikel auflisten