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

16 February 2022

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

3 / 3 papers shown

Title
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images Maziar Sabouri Shadab Ahamed Azin Asadzadeh Atlas Haddadi Avval S. Bagheri ... F. Yousefirizi Carlos F. Uribe G. Hajianfar Habib Zaidi Arman Rahmim 18 0 0 14 Jul 2024
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images Vincent Andrearczyk Valentin Oreiller S. Boughdad C. Cheze-le-Rest H. Elhalawani ... John O. Prior M. Vallières D. Visvikis M. Hatt A. Depeursinge 25 82 0 11 Jan 2022
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 30 393 0 08 Feb 2021