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

José Dolz

Ismail Ben Ayed

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

4 / 4 papers shown

Title
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks Adrian Galdran MedIm 41 4 0 06 Jun 2024
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 17 3 0 06 Feb 2023
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses Bingyuan Liu Jose Dolz Adrian Galdran Riadh Kobbi Ismail Ben Ayed 35 15 0 18 Apr 2021
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