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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 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

16 February 2022
F. Yousefirizi
I. Janzen
Natalia Dubljevic
Yueh-En Liu
Chloe Hill
Calum MacAulay
Arman Rahmim
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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
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
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
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
25
393
0
08 Feb 2021
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