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Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT
  images

Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images

8 July 2021
N. Zettler
André Mastmeyer
    SSeg
ArXivPDFHTML

Papers citing "Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images"

5 / 5 papers shown
Title
TTTFusion: A Test-Time Training-Based Strategy for Multimodal Medical Image Fusion in Surgical Robots
TTTFusion: A Test-Time Training-Based Strategy for Multimodal Medical Image Fusion in Surgical Robots
Qinhua Xie
Hao Tang
48
0
0
29 Apr 2025
Deep Learning-Based Brain Image Segmentation for Automated Tumour
  Detection
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
S. Sourabh
M. Valliappan
Narayana Darapaneni
P. AnweshR
19
0
0
06 Apr 2024
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder
  Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Daniel Wolf
Tristan Payer
C. Lisson
C. Lisson
Meinrad Beer
Michael Götz
Timo Ropinski
27
15
0
12 Aug 2023
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
D. V. Sang
Tran Quang Chung
P. N. Lan
D. V. Hang
D. Long
N. T. Thuy
109
21
0
02 May 2021
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
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