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Boundary-aware Information Maximization for Self-supervised Medical
  Image Segmentation

Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation

4 February 2022
Jizong Peng
Ping Wang
M. Pedersoli
Christian Desrosiers
    SSL
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Papers citing "Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation"

4 / 4 papers shown
Title
Classification of Breast Cancer Histopathology Images using a Modified
  Supervised Contrastive Learning Method
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
Matina Mahdizadeh Sani
Ali Royat
M. Baghshah
33
0
0
06 May 2024
A Spatial Guided Self-supervised Clustering Network for Medical Image
  Segmentation
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
E. Ahn
D. Feng
Jinman Kim
19
26
0
11 Jul 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
188
250
0
11 Feb 2021
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
429
15,595
0
02 Nov 2015
1