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The Little W-Net That Could: State-of-the-Art Retinal Vessel
  Segmentation with Minimalistic Models

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

3 September 2020
Adrian Galdran
André Anjos
José Dolz
H. Chakor
H. Lombaert
Ismail Ben Ayed
    SSeg
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Papers citing "The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models"

3 / 3 papers shown
Title
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder
  Networks
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks
Adrian Galdran
MedIm
33
4
0
06 Jun 2024
Novel Fundus Image Preprocessing for Retcam Images to Improve Deep
  Learning Classification of Retinopathy of Prematurity
Novel Fundus Image Preprocessing for Retcam Images to Improve Deep Learning Classification of Retinopathy of Prematurity
Sajid Rahim
Kourosh Sabri
Anna L. Ells
Alan Wassyng
M. Lawford
L. Chu
Wenbo He
12
3
0
06 Feb 2023
Towards a glaucoma risk index based on simulated hemodynamics from
  fundus images
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
J. Orlando
J. Barbosa-Breda
K. V. Keer
Matthew B. Blaschko
P. Blanco
C. Bulant
53
79
0
25 May 2018
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