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An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using
  Multimodal Data

An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data

25 February 2022
Numan Saeed
Roba Al Majzoub
I. Sobirov
Mohammad Yaqub
ArXivPDFHTML

Papers citing "An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data"

2 / 2 papers shown
Title
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in
  Head and Neck Cancer
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer
Mingyuan Meng
Lei Bi
D. Feng
Jinman Kim
21
14
0
10 Nov 2022
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
1