Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
Authors
Keywords
-
Journal
Biomedical Optics Express
Volume 10, Issue 2, Pages 892
Publisher
The Optical Society
Online
2019-01-27
DOI
10.1364/boe.10.000892
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
- (2018) Huazhu Fu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation
- (2018) Huazhu Fu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
- (2018) Zhixi Li et al. OPHTHALMOLOGY
- Predicting cancer outcomes from histology and genomics using convolutional networks
- (2018) Pooya Mobadersany et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
- (2018) Naoto Shibata et al. Scientific Reports
- Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
- (2018) Mark Christopher et al. Scientific Reports
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer
- (2017) Sheng Weng et al. JOURNAL OF BIOMEDICAL OPTICS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
- (2017) Natalia Antropova et al. MEDICAL PHYSICS
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration
- (2017) S. P. K. Karri et al. Biomedical Optics Express
- Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
- (2017) Leyuan Fang et al. Biomedical Optics Express
- Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images
- (2017) Shishir Maheshwari et al. IEEE Journal of Biomedical and Health Informatics
- Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks
- (2017) Philippe M. Burlina et al. JAMA Ophthalmology
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images
- (2016) Mark J. J. P. van Grinsven et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- 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
- Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
- (2015) Siqi Liu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- The Pathophysiology and Treatment of Glaucoma
- (2014) Robert N. Weinreb et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040
- (2014) Yih-Chung Tham et al. OPHTHALMOLOGY
- Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review
- (2013) Muhammad Salman Haleem et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Computer-aided diagnosis of diabetic retinopathy: A review
- (2013) Muthu Rama Krishnan Mookiah et al. COMPUTERS IN BIOLOGY AND MEDICINE
- AUTOMATED GLAUCOMA DETECTION USING HYBRID FEATURE EXTRACTION IN RETINAL FUNDUS IMAGES
- (2012) M MUTHU RAMA KRISHNAN et al. Journal of Mechanics in Medicine and Biology
- Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features
- (2012) Muthu Rama Krishnan Mookiah et al. KNOWLEDGE-BASED SYSTEMS
- Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features
- (2011) U. Rajendra Acharya et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Glaucoma risk index:Automated glaucoma detection from color fundus images
- (2010) Rüdiger Bock et al. MEDICAL IMAGE ANALYSIS
- Glaucoma Screening in the Real World
- (2010) Eugenio A. Maul et al. OPHTHALMOLOGY
- Screening for Glaucoma in High-Risk Populations Using Optical Coherence Tomography
- (2010) Gisèle Li et al. OPHTHALMOLOGY
- Diagnostic Accuracy of the Heidelberg Retina Tomograph for Glaucoma
- (2010) Paul R. Healey et al. OPHTHALMOLOGY
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
- (2009) Meindert Niemeijer et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Risk Factors for Glaucoma Onset and Progression
- (2008) Anne L. Coleman et al. SURVEY OF OPHTHALMOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now