Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings-Reference-Cited by-同舟云学术

Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
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Author:

Amiot Victor¹,Jimenez-Del-Toro Oscar²^ORCID,Eyraud Pauline¹,Guex-Crosier Yan³^ORCID,Bergin Ciara⁴^ORCID,Anjos André²,Hoogewoud Florence³^ORCID,Tomasoni Mattia¹^ORCID

Affiliation:

1. University of Lausanne,Platform for Research in Ocular Imaging, Jules-Gonin Eye Hospital, FAA,Switzerland

2. Idiap Research Institute,Biosignal group,Martigny,Switzerland

3. University of Lausanne,Ocular immuno-infectiology Unit Jules-Gonin Eye Hospital, FAA,Switzerland

4. University of Lausanne,Jules-Gonin Eye Hospital, FAA,Switzerland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178426/10178704/10178865.pdf?arnumber=10178865

Reference19 articles.

1. Distinctive Image Features from Scale-Invariant Keypoints

2. SOIN – MI Data Lab: Personalized Ophthalmology Through Collaborative Data Collection and Dynamic Patient Consent

3. A Threshold Selection Method from Gray-Level Histograms

4. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

5. An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection

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