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Tubule segmentation of fluorescence microscopy images based on
  convolutional neural networks with inhomogeneity correction

Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction

10 February 2018
Soonam Lee
Chichen Fu
P. Salama
K. Dunn
Edward J. Delp
ArXiv (abs)PDFHTML

Papers citing "Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction"

3 / 3 papers shown
Automated Scoring of Nuclear Pleomorphism Spectrum with
  Pathologist-level Performance in Breast Cancer
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer
Caner Mercan
M. Balkenhol
R. Salgado
M. Sherman
P. Vielh
...
M. Christgen
C. Denkert
K. V. D. Vijver
Jeroen van der Laak
F. Ciompi
126
4
0
09 Dec 2020
Advanced Deep Convolutional Neural Network Approaches for Digital
  Pathology Image Analysis: a comprehensive evaluation with different use cases
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
Md. Zahangir Alom
Theus H. Aspiras
T. Taha
V. Asari
T. Bowen
D. Billiter
Simon Arkell
125
35
0
19 Apr 2019
Three dimensional blind image deconvolution for fluorescence microscopy
  using generative adversarial networks
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
Soonam Lee
Shuo Han
P. Salama
K. Dunn
Edward J. Delp
MedIm
110
17
0
19 Apr 2019
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