Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with Attention (English)
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In:
Head and Neck Tumor Segmentation and Outcome Prediction
: Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
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Chapter: 18
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189-201
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2022
- Article/Chapter (Book) / Electronic Resource
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Title:Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with Attention
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Additional title:Lect.Notes Computer
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Contributors:Andrearczyk, Vincent ( editor ) / Oreiller, Valentin ( editor ) / Hatt, Mathieu ( editor ) / Depeursinge, Adrien ( editor ) / Bourigault, Emmanuelle ( author ) / McGowan, Daniel R. ( author ) / Mehranian, Abolfazl ( author ) / Papież, Bartłomiej W. ( author )
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Conference:3D Head and Neck Tumor Segmentation in PET/CT Challenge ; 2021 ; Strasbourg, France
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Published in:Head and Neck Tumor Segmentation and Outcome Prediction : Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings ; Chapter: 18 ; 189-201Lecture Notes in Computer Science ; 13209 ; 189-201
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2022-03-13
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Size:13 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT ImagesAndrearczyk, Vincent / Oreiller, Valentin / Boughdad, Sarah / Rest, Catherine Cheze Le / Elhalawani, Hesham / Jreige, Mario / Prior, John O. / Vallières, Martin / Visvikis, Dimitris / Hatt, Mathieu et al. | 2022
- 2
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CCUT-Net: Pixel-Wise Global Context Channel Attention UT-Net for Head and Neck Tumor SegmentationWang, Jiao / Peng, Yanjun / Guo, Yanfei / Li, Dapeng / Sun, Jindong et al. | 2022
- 3
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A Coarse-to-Fine Framework for Head and Neck Tumor Segmentation in CT and PET ImagesAn, Chengyang / Chen, Huai / Wang, Lisheng et al. | 2022
- 4
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Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet ModelQayyum, Abdul / Benzinou, Abdesslam / Mazher, Moona / Abdel-Nasser, Mohamed / Puig, Domenec et al. | 2022
- 5
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The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention NetworkWang, Guoshuai / Huang, Zhengyong / Shen, Hao / Hu, Zhanli et al. | 2022
- 6
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Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT ImagesCho, Minjeong / Choi, Yujin / Hwang, Donghwi / Yie, Si Young / Kim, Hanvit / Lee, Jae Sung et al. | 2022
- 7
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PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CTRen, Jintao / Huynh, Bao-Ngoc / Groendahl, Aurora Rosvoll / Tomic, Oliver / Futsaether, Cecilia Marie / Korreman, Stine Sofia et al. | 2022
- 8
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The Head and Neck Tumor Segmentation Based on 3D U-NetXie, Juanying / Peng, Ying et al. | 2022
- 9
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3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT ImagesLiu, Tao / Su, Yixin / Zhang, Jiabao / Wei, Tianqi / Xiao, Zhiyong et al. | 2022
- 10
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Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT ImagesDe Biase, Alessia / Tang, Wei / Sourlos, Nikos / Ma, Baoqiang / Guo, Jiapan / Sijtsema, Nanna Maria / van Ooijen, Peter et al. | 2022
- 11
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Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT ImagesNaser, Mohamed A. / Wahid, Kareem A. / van Dijk, Lisanne V. / He, Renjie / Abdelaal, Moamen Abobakr / Dede, Cem / Mohamed, Abdallah S. R. / Fuller, Clifton D. et al. | 2022
- 12
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Priori and Posteriori Attention for Generalizing Head and Neck Tumors SegmentationLu, Jiangshan / Lei, Wenhui / Gu, Ran / Wang, Guotai et al. | 2022
- 13
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Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear ModelGhimire, Kanchan / Chen, Quan / Feng, Xue et al. | 2022
- 14
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Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer PatientsLang, Daniel M. / Peeken, Jan C. / Combs, Stephanie E. / Wilkens, Jan J. / Bartzsch, Stefan et al. | 2022
- 15
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Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck CancerMeng, Mingyuan / Peng, Yige / Bi, Lei / Kim, Jinman et al. | 2022
- 16
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PET/CT Head and Neck Tumor Segmentation and Progression Free Survival Prediction Using Deep and Machine Learning TechniquesMartinez-Larraz, Alfonso / Martí Asenjo, Jaime / Álvarez Rodríguez, Beatriz et al. | 2022
- 17
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Automatic Head and Neck Tumor Segmentation and Progression Free Survival Analysis on PET/CT ImagesYuan, Yading / Adabi, Saba / Wang, Xuefeng et al. | 2022
- 18
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Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with AttentionBourigault, Emmanuelle / McGowan, Daniel R. / Mehranian, Abolfazl / Papież, Bartłomiej W. et al. | 2022
- 19
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Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck CancerSalmanpour, Mohammad R. / Hajianfar, Ghasem / Rezaeijo, Seyed Masoud / Ghaemi, Mohammad / Rahmim, Arman et al. | 2022
- 20
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Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning SystemsFatan, Mehdi / Hosseinzadeh, Mahdi / Askari, Dariush / Sheikhi, Hossein / Rezaeijo, Seyed Masoud / Salmanpour, Mohammad R. et al. | 2022
- 21
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Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive EnsemblingMurugesan, Gowtham Krishnan / Brunner, Eric / McCrumb, Diana / Kumar, Jithendra / VanOss, Jeff / Moore, Stephen / Peck, Anderson / Chang, Anthony et al. | 2022
- 22
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Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural NetworksYousefirizi, Fereshteh / Janzen, Ian / Dubljevic, Natalia / Liu, Yueh-En / Hill, Chloe / MacAulay, Calum / Rahmim, Arman et al. | 2022
- 23
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Dual-Path Connected CNN for Tumor Segmentation of Combined PET-CT Images and Application to Survival Risk PredictionLee, Jiyeon / Kang, Jimin / Shin, Emily Yunha / Kim, Regina E. Y. / Lee, Minho et al. | 2022
- 24
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Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer PatientsJuanco-Müller, Ángel Víctor / Mota, João F. C. / Goatman, Keith / Hoogendoorn, Corné et al. | 2022
- 25
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A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck CancersStarke, Sebastian / Thalmeier, Dominik / Steinbach, Peter / Piraud, Marie et al. | 2022
- 26
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An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal DataSaeed, Numan / Al Majzoub, Roba / Sobirov, Ikboljon / Yaqub, Mohammad et al. | 2022
- 27
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Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging DataNaser, Mohamed A. / Wahid, Kareem A. / Mohamed, Abdallah S. R. / Abdelaal, Moamen Abobakr / He, Renjie / Dede, Cem / van Dijk, Lisanne V. / Fuller, Clifton D. et al. | 2022
- 28
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Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell CarcinomaWahid, Kareem A. / He, Renjie / Dede, Cem / Mohamed, Abdallah S. R. / Abdelaal, Moamen Abobakr / van Dijk, Lisanne V. / Fuller, Clifton D. / Naser, Mohamed A. et al. | 2022
- 29
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Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck CancerMa, Baoqiang / Guo, Jiapan / De Biase, Alessia / Sourlos, Nikos / Tang, Wei / van Ooijen, Peter / Both, Stefan / Sijtsema, Nanna Maria et al. | 2022
- 30
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Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CTHuynh, Bao-Ngoc / Ren, Jintao / Groendahl, Aurora Rosvoll / Tomic, Oliver / Korreman, Stine Sofia / Futsaether, Cecilia Marie et al. | 2022