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PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei
  Segmentation

PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation

4 November 2019
Jie Zhao
Lei Dai
Mo Zhang
Fei Yu
Meng Li
Hongfeng Li
Wei Cao
Li Zhang
ArXivPDFHTML

Papers citing "PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation"

4 / 4 papers shown
Title
Progressive Growing of Patch Size: Resource-Efficient Curriculum
  Learning for Dense Prediction Tasks
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
Stefan M. Fischer
Lina Felsner
Richard Osuala
Johannes Kiechle
Daniel M. Lang
J. Peeken
Julia A. Schnabel
32
3
0
10 Jul 2024
Attention Mechanisms in Medical Image Segmentation: A Survey
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie
Bing Yang
Qi Guan
Jianpeng Zhang
Qi Wu
Yong-quan Xia
ViT
MedIm
27
16
0
29 May 2023
What is the State of the Art of Computer Vision-Assisted Cytology? A
  Systematic Literature Review
What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review
André Victória Matias
João Gustavo Atkinson Amorim
Luiz Antonio Buschetto Macarini
Allan Cerentini
A. S. Onofre
F. Onofre
Felipe Perozzo Daltoé
M. Stemmer
A. V. Wangenheim
30
18
0
24 May 2021
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
33
1,046
0
02 Nov 2020
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