2022
Robust convolutional neural networks against adversarial attacks on medical images
Shi X, Peng Y, Chen Q, Keenan T, Thavikulwat A, Lee S, Tang Y, Chew E, Summers R, Lu Z. Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognition 2022, 132: 108923. DOI: 10.1016/j.patcog.2022.108923.Peer-Reviewed Original ResearchConvolutional neural networkMedical imagesAdversarial attacksAdversarial perturbationsNeural networkRobust convolutional neural networkNovel defense methodMedical image modalitiesReal-world scenariosSignificant security risksDefense methodsFeature representationSecurity risksHuman expertsNoisy featuresAttacking methodImage modalitiesAttacksImagesNetworkMedical applicationsOriginal performanceSparsityPerformance deteriorationApplications
2019
A multi-task deep learning model for the classification of Age-related Macular Degeneration.
Chen Q, Peng Y, Keenan T, Dharssi S, Agro N E, Wong W, Chew E, Lu Z. A multi-task deep learning model for the classification of Age-related Macular Degeneration. AMIA Joint Summits On Translational Science Proceedings 2019, 2019: 505-514. PMID: 31259005, PMCID: PMC6568069.Peer-Reviewed Original ResearchDeep learning modelsLearning modelMulti-task deep learning modelNovel deep learning modelMulti-task learning techniquesColor fundus imagesImage datasetsLearning techniquesAutomated classificationManual classificationArt modelsManual gradingFundus imagesGrading processClassificationImagesAge-related macular degenerationCurrent stateEye Disease Study GroupAMD severity scaleOverfittingDatasetMacular degenerationModelAccuracy