(2) SD-Unet is tested on three public retinal fundus image datasets with annotated blood vessel authentic markers: DRIVE [11], STARE [12] and CHASE DB1 [13] (
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[PDF] A Robust UNet Architecture for Image Super - CVF Open Access
In this paper, a new UNet architecture that is able to learn the relationship between a set of degraded low- resolution images and their corresponding original high-
[PDF] Utilisation de réseaux de neurones UNET pour la - SourceSup
1 27 Juin 2019 Stéphane May Utilisation de réseaux de neurones UNET pour la reconnaissance d'objets de types avions et bateaux dans les
ENS-Unet: End-To-End Noise Suppression U-Net for - IEEE Xplore
ENS-Unet: End-to-end Noise Suppression U-net for Brain Tumor Segmentation Zhu Meng 1,a, Zhongyue Fan 2,a, Zhicheng Zhao 3,a,b, Fei Su 4,a,b
SD-Unet: A Structured Dropout U-Net for Retinal - IEEE Xplore
(2) SD-Unet is tested on three public retinal fundus image datasets with annotated blood vessel authentic markers: DRIVE [11], STARE [12] and CHASE DB1 [13] (
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