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Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor
  Segmentation

Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation

17 April 2020
Wenshuai Zhao
Dihong Jiang
Jorge Peña Queralta
Tomi Westerlund
    SSeg
ArXivPDFHTML

Papers citing "Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation"

4 / 4 papers shown
Title
PriorNet: lesion segmentation in PET-CT including prior tumor appearance
  information
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information
Simone Bendazzoli
M. Astaraki
SSeg
MedIm
63
3
0
05 Oct 2022
An Efficient Anchor-free Universal Lesion Detection in CT-scans
An Efficient Anchor-free Universal Lesion Detection in CT-scans
Manu Sheoran
Meghal Dani
Monika Sharma
L. Vig
MedIm
20
6
0
30 Mar 2022
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
25
1,044
0
02 Nov 2020
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
446
15,645
0
02 Nov 2015
1