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MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for
  Improving Segmentation of Medical Image with Ambiguous Boundaries

MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries

17 November 2023
Shuai Wang
Tengjin Weng
Jingyi Wang
Yang Shen
Zhidong Zhao
Yixiu Liu
Pengfei Jiao
Zhiming Cheng
Yaqi Wang
ArXivPDFHTML

Papers citing "MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries"

2 / 2 papers shown
Title
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
440
15,637
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
288
75,800
0
18 May 2015
1