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ProstAttention-Net: A deep attention model for prostate cancer
  segmentation by aggressiveness in MRI scans

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans

23 November 2022
Audrey Duran
Gaspard Dussert
O. Rouvière
Tristan Jaouen
Pierre-Marc Jodoin
Carole Lartizien
    MedIm
ArXivPDFHTML

Papers citing "ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans"

3 / 3 papers shown
Title
MLC at HECKTOR 2022: The Effect and Importance of Training Data when
  Analyzing Cases of Head and Neck Tumors using Machine Learning
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
Vajira Thambawita
A. Storaas
Steven A. Hicks
P. Halvorsen
Michael A. Riegler
16
1
0
30 Nov 2022
Learning to segment prostate cancer by aggressiveness from scribbles in
  bi-parametric MRI
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI
Audrey Duran
Gaspard Dussert
Carole Lartizien
27
3
0
01 Jul 2022
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
1