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Enforcing Morphological Information in Fully Convolutional Networks to
  Improve Cell Instance Segmentation in Fluorescence Microscopy Images

Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images

10 June 2021
W. Zamora-Cardenas
Mauro Mendez
Saul Calderon-Ramirez
Martin Vargas
Gerardo Monge
S. Quirós
David Elizondo
David Elizondo
Miguel A. Molina-Cabello
    3DV
    MedIm
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Papers citing "Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images"

2 / 2 papers shown
Title
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for
  Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature
  Densities
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
Armaghan Moemeni
OOD
17
24
0
17 Aug 2021
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
153
174
0
04 Nov 2016
1