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Deep learning and its application to medical image segmentation

Deep learning and its application to medical image segmentation

23 March 2018
H. Roth
Chen Shen
H. Oda
M. Oda
Y. Hayashi
K. Misawa
K. Mori
    MedIm
    SSeg
ArXivPDFHTML

Papers citing "Deep learning and its application to medical image segmentation"

5 / 5 papers shown
Title
Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
B. K. Das
Gengyan Zhao
Han Liu
Thomas J. Re
D. Comaniciu
Eli Gibson
Andreas K. Maier
ViT
MedIm
52
1
0
15 Jan 2025
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Lianhao Yin
Yutong Ban
J. Eckhoff
O. Meireles
Daniela Rus
Guy Rosman
39
1
0
03 Feb 2024
Medical Image Segmentation with 3D Convolutional Neural Networks: A
  Survey
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S. Niyas
S. Pawan
Anand Kumar
Jeny Rajan
MedIm
33
83
0
19 Aug 2021
Reducing the Hausdorff Distance in Medical Image Segmentation with
  Convolutional Neural Networks
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
Davood Karimi
Septimiu E. Salcudean
MedIm
15
388
0
22 Apr 2019
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
168
835
0
09 Feb 2016
1