Deep Dirichlet uncertainty for unsupervised out-of-distribution
detection of eye fundus photographs in glaucoma screening

v1v2 (latest)

Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening

25 February 2022

Guilherme Aresta

Hrvoje Bogunović

ArXiv (abs)PDF HTML

Papers citing "Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening"

5 / 5 papers shown

Title
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge Coen de Vente Koen A. Vermeer Nicolas Jaccard He Wang Hongyi Sun ... Abdul Qayyum Imran Razzak Bram van Ginneken H. Lemij Clara I. Sánchez 112 57 0 03 Feb 2023
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 113 107 0 08 Apr 2021
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 98 576 0 26 Feb 2020
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 131 618 0 08 Oct 2019
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 185 1,000 0 05 Jun 2018

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