ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.01040
  4. Cited By
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
ArXivPDFHTML

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

3 / 3 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
37
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
24
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
11
48
0
17 Apr 2020
1