Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification

Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning

(2020) Mital Shah et al.   ACTA OPHTHALMOLOGICA

A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease

(2020) Tae Keun Yoo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level

(2020) Tae Keun Yoo et al.   Translational Vision Science & Technology

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

(2020) Ryan T. Yanagihara et al.   Translational Vision Science & Technology

Improving breast mass classification by shared data with domain transformation using a generative adversarial network

(2020) Chisako Muramatsu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders

(2020) Seung Seog Han et al.   JOURNAL OF INVESTIGATIVE DERMATOLOGY

Automatic detection of rare pathologies in fundus photographs using few-shot learning

(2020) Gwenolé Quellec et al.   MEDICAL IMAGE ANALYSIS

A Deep-Learning Approach for Automated OCT En-Face Retinal Vessel Segmentation in Cases of Optic Disc Swelling Using Multiple En-Face Images as Input

(2020) Mohammad Shafkat Islam et al.   Translational Vision Science & Technology

Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP

(2020) Yi-Zhong Wang et al.   Translational Vision Science & Technology

Few-Shot Learning approach for plant disease classification using images taken in the field

(2020) David Argüeso et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Toward automated severe pharyngitis detection with smartphone camera using deep learning networks

(2020) Tae Keun Yoo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases

(2020) Philippe Burlina et al.   JAMA Ophthalmology

Zero- and few-shot learning for diseases recognition of Citrus aurantium L. using conditional adversarial autoencoders

(2020) Fangming Zhong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study

(2019) Simon Ronicke et al.   Orphanet Journal of Rare Diseases

Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images

(2019) Hiroki Masumoto et al.   PeerJ

Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database

(2019) Stéphanie Nguengang Wakap et al.   EUROPEAN JOURNAL OF HUMAN GENETICS

TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set

(2019) Moran Rubin et al.   MEDICAL IMAGE ANALYSIS

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

(2019) Veit Sandfort et al.   Scientific Reports

Few-shot learning-based human activity recognition

(2019) Siwei Feng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

(2018) Maayan Frid-Adar et al.   NEUROCOMPUTING

Association of Corticosteroid Use With Incidence of Central Serous Chorioretinopathy in South Korea

(2018) Tyler Hyungtaek Rim et al.   JAMA Ophthalmology

The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

(2018) Tae Keun Yoo et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes

(2018) Toshihiko Nagasawa et al.   PeerJ

Deep Learning-Based Automated Classification of Multi-Categorical Abnormalities From Optical Coherence Tomography Images

(2018) Wei Lu et al.   Translational Vision Science & Technology

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

(2017) Joon Yul Choi et al.   PLoS One

Machine Learning Techniques in Clinical Vision Sciences

(2016) Miguel Caixinha et al.   CURRENT EYE RESEARCH

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Clinical applications of spectral domain optical coherence tomography in retinal diseases

(2016) R.K. Murthy et al.   Biomedical Journal

Multi-retinal disease classification by reduced deep learning features

(2015) R. Arunkumar et al.   NEURAL COMPUTING & APPLICATIONS

Prevalence of and Risk Factors for Diabetic Macular Edema in the United States

(2014) Rohit Varma et al.   JAMA Ophthalmology

Frequency, Genotype, and Clinical Spectrum of Best Vitelliform Macular Dystrophy: Data From a National Center in Denmark

(2012) Hanna Bitner et al.   AMERICAN JOURNAL OF OPHTHALMOLOGY

THE PREVALENCE ESTIMATES OF MACULAR TELANGIECTASIA TYPE 2

(2010) KHIN ZAW AUNG et al.   RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES

Why rare diseases are an important medical and social issue

(2008) Arrigo Schieppati et al.   LANCET

Prevalence of Retinitis Pigmentosa in South Indian Population Aged Above 40 Years

(2008) Parveen Sen et al.   OPHTHALMIC EPIDEMIOLOGY