4.4 Article

Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Biomedical

CNNs for automatic glaucoma assessment using fundus images: an extensive validation

Andres Diaz-Pinto et al.

BIOMEDICAL ENGINEERING ONLINE (2019)

Article Biology

Quality and and content analysis of fundus images using deep learning

Renoh Johnson Chalakkal et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2019)

Article Ophthalmology

Evaluation of deep convolutional neural networks for glaucoma detection

Sang Phan et al.

JAPANESE JOURNAL OF OPHTHALMOLOGY (2019)

Article Biochemical Research Methods

Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning

Juan J. Gomez-Valverde et al.

BIOMEDICAL OPTICS EXPRESS (2019)

Article Computer Science, Artificial Intelligence

Faster and transferable deep learning steganalysis on GPU

Ye Dengpan et al.

JOURNAL OF REAL-TIME IMAGE PROCESSING (2019)

Article Computer Science, Artificial Intelligence

A new image classification method using CNN transfer learning and web data augmentation

Dongmei Han et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Multidisciplinary Sciences

Development of a deep residual learning algorithm to screen for glaucoma from fundus photography

Naoto Shibata et al.

SCIENTIFIC REPORTS (2018)

Article Environmental Sciences

Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification

Mercedes E. Paoletti et al.

REMOTE SENSING (2018)

Proceedings Paper Engineering, Electrical & Electronic

Glaucoma Diagnosis over Eye Fundus Image through Deep Features

Alan Carlos de Moura Lima et al.

2018 25TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP) (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma

Rashmi Panda et al.

JOURNAL OF MEDICAL IMAGING (2018)

Article Instruments & Instrumentation

Tracking within Hadronic Showers in the CALICE SDHCAL prototype using a Hough Transform Technique

Z. Deng et al.

JOURNAL OF INSTRUMENTATION (2017)

Article Computer Science, Information Systems

Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images

Shishir Maheshwari et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)

Proceedings Paper Optics

Convolutional Neural Network Transfer for Automated Glaucoma Identification

Jose Ignacio Orlando et al.

12TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (2017)

Proceedings Paper Optics

Image Super-resolution Based On Self-similarity and Various Patch Size

Luyang Yao et al.

EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2016) (2016)

Review Medicine, General & Internal

The Pathophysiology and Treatment of Glaucoma A Review

Robert N. Weinreb et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2014)

Article Biophysics

AUTOMATED GLAUCOMA DETECTION USING HYBRID FEATURE EXTRACTION IN RETINAL FUNDUS IMAGES

M. Muthu Rama Krishnan et al.

JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY (2013)

Article Computer Science, Artificial Intelligence

Glaucoma risk index: Automated glaucoma detection from color fundus images

Ruediger Bock et al.

MEDICAL IMAGE ANALYSIS (2010)

Review Ophthalmology

Risk Factors for Glaucoma Onset and Progression

Anne L. Coleman et al.

SURVEY OF OPHTHALMOLOGY (2008)

Article Ophthalmology

The number of people with glaucoma worldwide in 2010 and 2020

HA Quigley et al.

BRITISH JOURNAL OF OPHTHALMOLOGY (2006)