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CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart
  Segmentation

CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation

12 December 2018
Zhanwei Xu
Ziyi Wu
Jianjiang Feng
    SSeg
ArXivPDFHTML

Papers citing "CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation"

4 / 4 papers shown
Title
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for
  Automated Nerve Identification
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification
Baijun Xie
Gary Milam
B. Ning
J. Cha
C. Park
MedIm
25
7
0
27 Feb 2022
Multi-class probabilistic atlas-based whole heart segmentation method in
  cardiac CT and MRI
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Tarun Kanti Ghosh
Md. Kamrul Hasan
Shidhartho Roy
Md. Ashraful Alam
Eklas Hossain
Mohiudding Ahmad
13
18
0
03 Feb 2021
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
673
0
09 Nov 2019
Star-convex Polyhedra for 3D Object Detection and Segmentation in
  Microscopy
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy
Martin Weigert
Uwe Schmidt
Robert Haase
Ko Sugawara
E. Myers
20
362
0
09 Aug 2019
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