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。Automatic optic disc detection using low-rank representation based semi-supervised extreme learning machine
Wei Zhou et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)
3D-Deep Learning Based Automatic Diagnosis of Alzheimer's Disease with Joint MMSE Prediction Using Resting-State fMRI
Nguyen Thanh Duc et al.
NEUROINFORMATICS (2020)
Automated glaucoma detection using GIST and pyramid histogram of oriented gradients (PHOG) descriptors
Neha Gour et al.
PATTERN RECOGNITION LETTERS (2020)
Heterogeneous risk profiles among B3 breast lesions of uncertain malignant potential
Paolo Orsaria et al.
TUMORI JOURNAL (2020)
The Use of Texture Features to Extract and Analyze Useful Information from Retinal Images
Xiaobo Zhang et al.
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING (2020)
Robust retinal optic disc and optic cup segmentation via stationary wavelet transform and maximum vessel pixel sum
Birendra Biswal et al.
IET IMAGE PROCESSING (2020)
JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation
Yuming Jiang et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2020)
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Jose Ignacio Orlando et al.
MEDICAL IMAGE ANALYSIS (2020)
Detection of anaemia from retinal fundus images via deep learning
Akinori Mitani et al.
NATURE BIOMEDICAL ENGINEERING (2020)
A multi-scale recurrent fully convolution neural network for laryngeal leukoplakia segmentation
Bin Ji et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Optic Disc and Cup Image Segmentation Utilizing Contour-Based Transformation and Sequence Labeling Networks
Zhe Xie et al.
JOURNAL OF MEDICAL SYSTEMS (2020)
An Unsupervised Retinal Vessel Segmentation Using Hessian and Intensity Based Approach
Musaed Alhussein et al.
IEEE ACCESS (2020)
DUNet: A deformable network for retinal vessel segmentation
Qiangguo Jin et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning
Bi Xiaojun et al.
NEURAL NETWORKS (2019)
An automated glaucoma screening system using cup-to-disc ratio via Simple Linear Iterative Clustering superpixel approach
Nur Ayuni Mohamed et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
Novel therapies for glaucoma: a patent review (2013-2019)
Paolo Guglielmi et al.
EXPERT OPINION ON THERAPEUTIC PATENTS (2019)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Robust retinal blood vessel segmentation using hybrid active contour model
Prakash Kumar Karn et al.
IET IMAGE PROCESSING (2019)
Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation
Huazhu Fu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis
Baidaa Al-Bander et al.
SYMMETRY-BASEL (2018)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
Konstantinos Kamnitsas et al.
MEDICAL IMAGE ANALYSIS (2017)
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation
Julian Zilly et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2017)
Automatic optic disc localization and segmentation in retinal images by a line operator and level sets
Fulong Ren et al.
TECHNOLOGY AND HEALTH CARE (2016)
Acceptability, Usability, and Views on Deployment of Peek, a Mobile Phone mHealth Intervention for Eye Care in Kenya: Qualitative Study
Vaishali Lodhia et al.
JMIR MHEALTH AND UHEALTH (2016)
Short Term Outcome of Anterior Lamellar Reposition in Treating Trachomatous Trichiasis
Rania A. Ahmed et al.
JOURNAL OF OPHTHALMOLOGY (2015)
Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040 A Systematic Review and Meta-Analysis
Yih-Chung Tham et al.
OPHTHALMOLOGY (2014)
Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment
Gopal Datt Joshi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)
Optic disk feature extraction via modified deformable model technique for glaucoma analysis
Juan Xu et al.
PATTERN RECOGNITION (2007)
The number of people with glaucoma worldwide in 2010 and 2020
HA Quigley et al.
BRITISH JOURNAL OF OPHTHALMOLOGY (2006)