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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
ArXivPDFHTML

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

2 / 2 papers shown
Title
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
30
32
0
19 Apr 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
337
10,633
0
19 Feb 2017
1