Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer

التفاصيل البيبلوغرافية
العنوان:	Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer
المؤلفون:	Salmanpour, Mohammad R.^{Aff11, Aff12, Aff13}, Hajianfar, Ghasem^{Aff13, Aff14}, Hosseinzadeh, Mahdi^{Aff13, Aff15}, Rezaeijo, Seyed Masoud^Aff16, Hosseini, Mohammad Mehdi^Aff17, Kalatehjari, Ehsanhosein^Aff18, Harimi, Ali^Aff18, Rahmim, Arman^{Aff11, Aff12}
المساهمون:	Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Andrearczyk, Vincent, editor^Aff7, Oreiller, Valentin, editor^Aff8, Hatt, Mathieu, editor^Aff9, Depeursinge, Adrien, editor^Aff10
المصدر:	Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. 13626:230-239
قاعدة البيانات:	Springer Nature eBooks

الوصف
ردمك:	9783031274190 9783031274206
DOI:	10.1007/978-3-031-27420-6_23