Elevating Fundoscopic Evaluation to Expert Level - Automatic Glaucoma Detection Using Data from the Airogs Challenge

Abstract

Glaucoma is a group of clinically relevant eye diseases that eventually result in damage to the retina and optic nerve, leading to vision loss. While it is the main cause of irreversible blindness worldwide, it typically remains asymptomatic until its late stages. Glaucoma is usually diagnosed during routine eye examination, which includes fundoscopic evaluation. Here, we describe our approach for glaucoma detection in the Artificial Intelligence for Robust Glaucoma Screening challenge based on ocular fundus images. We first use object detection to focus on the most relevant part of the image and then use an ensemble of classification networks. Ungradability is rated by combining the reliability score during object detection with an explicit rating of an ungradability neural network. We achieve a sensitivity of detecting glaucoma of 0.8396 at 95% specificity and an area under the curve of 0.9852 for ungradability detection.

Authors 9

1. Firas Khader Aachen Department of Diagnostic and Interventional Radiology

   Universitätsklinikum Aachen

   Affiliation as printed

   University Hospital Aachen,Department of Diagnostic and Interventional Radiology,Aachen,Germany

   Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany

2. Christoph Haarburger
   Affiliation as printed

   CheckupPoint AG,Riedt,Switzerland

   CheckupPoint AG, Riedt, Switzerland

3. Jorg-Christian Kirr
   Affiliation as printed

   CheckupPoint AG,Riedt,Switzerland

   CheckupPoint AG, Riedt, Switzerland

4. Marcel Nico Menke

   Kantonsspital Aarau

   Affiliation as printed

   CheckupPoint AG,Riedt,Switzerland

   CheckupPoint AG, Riedt, Switzerland

   Department of Ophthalmology, Kantonsspital Aarau, Aarau, Switzerland

5. Jakob Nikolas Kather Aachen Department of Medicine III

   University of Leeds · German Cancer Research Center · University Hospital Heidelberg · National Center for Tumor Diseases · Universitätsklinikum Aachen · Deutsches Konsortium für Translationale Krebsforschung · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden

   Affiliation as printed

   University Hospital Aachen,Department of Medicine III,Aachen,Germany

   Department of Medicine III, University Hospital Aachen, Aachen, Germany

   German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany

   Medical Faculty Carl Gustav Carus, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany

   Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany

6. Johannes Stegmaier Aachen Institute of Imaging & Computer Vision

   RWTH Aachen University

   Affiliation as printed

   Institute of Imaging and Computer Vision, RWTH Aachen University,Aachen,Germany

   Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany

7. Christiane Katharina Kuhl Aachen Department of Diagnostic and Interventional Radiology

   Universitätsklinikum Aachen

   Affiliation as printed

   University Hospital Aachen,Department of Diagnostic and Interventional Radiology,Aachen,Germany

   Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany

8. Sven Nebelung Aachen Department of Diagnostic and Interventional Radiology

   Universitätsklinikum Aachen

   Affiliation as printed

   University Hospital Aachen,Department of Diagnostic and Interventional Radiology,Aachen,Germany

   Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany

9. Daniel Truhn Aachen Department of Diagnostic and Interventional Radiology

   Universitätsklinikum Aachen

   Affiliation as printed

   University Hospital Aachen,Department of Diagnostic and Interventional Radiology,Aachen,Germany

   Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany