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Fully Convolutional Networks for Monocular Retinal Depth Estimation and
  Optic Disc-Cup Segmentation

Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation

4 February 2019
Sharath M. Shankaranarayana
Keerthi Ram
Kaushik Mitra
M. Sivaprakasam
    MedIm
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Papers citing "Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation"

4 / 4 papers shown
Title
Integrating Edge Information into Ground Truth for the Segmentation of
  the Optic Disc and Cup from Fundus Images
Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images
Yoga Sri Varshan V
Hitesh Gupta Kattamuri
Subin Sahayam
Umarani Jayaraman
43
0
0
09 Aug 2024
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
D. Cahall
Ghulam Rasool
N. Bouaynaya
Hassan M. Fathallah-Shaykh
32
6
0
15 Aug 2021
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
S. Vijayarangan
Vignesh Ravichandran
Balamurali Murugesan
S. Preejith
J. Joseph
M. Sivaprakasam
19
48
0
17 Apr 2020
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods
  for Glaucoma Assessment from Fundus Photographs
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
J. Orlando
Huazhu Fu
J. Barbosa-Breda
K. V. Keer
Deepti R. Bathula
...
Fei Li
Xiulan Zhang
Yanwu Xu
Xiulan Zhang
Hrvoje Bogunović
9
608
0
08 Oct 2019
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