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IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive
  Biased kernels

IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels

28 October 2022
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
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Papers citing "IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels"

3 / 3 papers shown
Title
Segmentation of Prostate Tumour Volumes from PET Images is a Different
  Ball Game
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game
Shrajan Bhandary
Dejan Kuhn
Z. Babaiee
T. Fechter
S. Spohn
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
40
1
0
15 Jul 2024
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
135
426
0
09 Mar 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,608
0
19 Feb 2017
1