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TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control
  Method For Robust Cardiac Image Segmentation

TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation

21 December 2022
F. Uslu
Anil A. Bharath
ArXivPDFHTML

Papers citing "TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation"

5 / 5 papers shown
Title
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for
  Medical Image Segmentation
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
15
12
0
20 Oct 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
660
0
24 Jan 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
429
15,595
0
02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1