Deep learning-based detection of advanced AMD on retinal OCT from the UK Biobank dataset on behalf of the PINNACLE Consortium

被引：0

作者：

Leingang, Oliver ^{[1
]}

Bogunovic, Hrvoje ^{[1
]}

Reiter, Gregor Sebastian ^{[1
]}

Chakravarty, Arunava ^{[1
]}

Menten, Martin Joseph ^{[2
]}

Holland, Robert ^{[2
]}

Fritsche, Lars G. ^{[3
]}

Scholl, Hendrik P. ^{[4
]}

Rueckert, Daniel ^{[2
]}

Sivaprasad, Sobha ^{[5
]}

Lotery, Andrew J. ^{[6
]}

Schmidt-Erfurth, Ursula ^{[1
]}

机构：

[1] Med Univ Wien, Dept Ophthalmol, Vienna, Austria

[2] Tech Univ Munich, Inst AI & Informat Med, Munich, Germany

[3] Univ Michigan, Ann Arbor, MI USA

[4] Inst Mol & Clin Ophthalmol Basel, Basel, Switzerland

[5] Moorfields Eye Hosp NHS Fdn Trust, London, England

[6] Univ Southampton, Southampton, Hants, England

来源：

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2023年 / 64卷 / 08期

基金：

英国惠康基金;

关键词：

D O I：

暂无

中图分类号：

R77 [眼科学];

学科分类号：

100212 ;

摘要：

引用

页数：3

共 50 条

[31] Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank
Rachel Marjorie Wei Wen Tseng
Tyler Hyungtaek Rim
Eduard Shantsila
Joseph K. Yi
Sungha Park
Sung Soo Kim
Chan Joo Lee
Sahil Thakur
Simon Nusinovici
Qingsheng Peng
Hyeonmin Kim
Geunyoung Lee
Marco Yu
Yih-Chung Tham
Ameet Bakhai
Paul Leeson
Gregory Y.H. Lip
Tien Yin Wong
Ching-Yu Cheng
BMC Medicine, 21
[32] Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank
Tseng, Rachel Marjorie Wei Wen
Rim, Tyler Hyungtaek
Shantsila, Eduard
Yi, Joseph K.
Park, Sungha
Kim, Sung Soo
Lee, Chan Joo
Thakur, Sahil
Nusinovici, Simon
Peng, Qingsheng
Kim, Hyeonmin
Lee, Geunyoung
Yu, Marco
Tham, Yih-Chung
Bakhai, Ameet
Leeson, Paul
Lip, Gregory Y. H.
Wong, Tien Yin
Cheng, Ching-Yu
BMC MEDICINE, 2023, 21 (01)
[33] Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances
Lucia, Oscar
Navarro, Denis
Guillen, Pablo
Sarnago, Hector
Lucia, Sergio
IEEE ACCESS, 2019, 7 : 181668 - 181677
[34] Deep learning-based anomaly detection from ultrasonic images
Posilovic, Luka
Medak, Duje
Milkovic, Fran
Subasic, Marko
Budimir, Marko
Loncaric, Sven
ULTRASONICS, 2022, 124
[35] Comparison of a human versus deep learning-based evaluation of fluid change in real-world OCT images of neovascular AMD
Michl, Martin
Gerendas, Bianca S.
Seeboeck, Philipp
de Llano, Elisa
Gruber, Anastasiia
Goldbach, Felix
Mylonas, Georgios
Leingang, Oliver
Buehl, Wolf
Sacu, Stefan
Bogunovic, Hrvoje
Schmidt-Erfurth, Ursula
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
[36] Accuracy improvement for classifying retinal OCT images by diseases using deep learning-based selective denoising approach
Hu, Lantian
Guo, Ruixiang
Li, Sifan
Cao, Jing
Liu, Qian
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2023, 16 (06)
[37] Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans
Moradi, Mousa
Chen, Yu
Du, Xian
Seddon, Johanna M.
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 154
[38] Machine learning and deep learning-based advanced classification techniques for the detection of major depressive disorder
Chatterjee, Abhinandan
Bala, Pradip
Gedam, Shruti
Paul, Sanchita
Goyal, Nishant
ASLIB JOURNAL OF INFORMATION MANAGEMENT, 2024, 76 (06) : 938 - 973
[39] End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging
Romo-Bucheli, David
Erfurth, Ursula Schmidt
Bogunovic, Hrvoje
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 24 (12) : 3456 - 3465
[40] Deep Learning-Based Vascular Aging Prediction From Retinal Fundus Images
Wang, Ruohong
Tan, Yuhe
Zhong, Zheng
Rao, Suyun
Zhou, Ziqing
Zhang, Lisha
Zhang, Cuntai
Chen, Wei
Ruan, Lei
Sun, Xufang
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2024, 13 (07): : 10

← 1 2 3 4 5 →