Literature DB >> 33001161

Outcomes of Adversarial Attacks on Deep Learning Models for Ophthalmology Imaging Domains.

Tae Keun Yoo1, Joon Yul Choi2.   

Abstract

Mesh：

Year:  2020        PMID： 33001161      PMCID： PMC7530819          DOI： 10.1001/jamaophthalmol.2020.3442

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN： 2168-6165            Impact factor:   7.389


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  3 in total

1.  Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images.

Authors:  Tae Keun Yoo; Ik Hee Ryu; Jin Kuk Kim; In Sik Lee
Journal:  Eye (Lond)       Date:  2021-10-05       Impact factor: 4.456

Review 2.  Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey.

Authors:  Aram You; Jin Kuk Kim; Ik Hee Ryu; Tae Keun Yoo
Journal:  Eye Vis (Lond)       Date:  2022-02-02

3.  Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology.

Authors:  Marina Z Joel; Sachin Umrao; Enoch Chang; Rachel Choi; Daniel X Yang; James S Duncan; Antonio Omuro; Roy Herbst; Harlan M Krumholz; Sanjay Aneja
Journal:  JCO Clin Cancer Inform       Date:  2022-02
  3 in total

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