Optic disc segmentation by U-net and probability bubble in abnormal fundus images
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Optic disc segmentation by U-net and probability bubble in abnormal fundus images
Authors
Keywords
OD segmentation, U-Net, Model-driven, Probability bubble, Joint probability
Journal
PATTERN RECOGNITION
Volume 117, Issue -, Pages 107971
Publisher
Elsevier BV
Online
2021-04-06
DOI
10.1016/j.patcog.2021.107971
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification
- (2020) Lu Bai et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks
- (2019) Zhihong Zhang et al. PATTERN RECOGNITION
- 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
- Diabetic retinopathy techniques in retinal images: A review
- (2018) Nadeem Salamat et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Quantum-based subgraph convolutional neural networks
- (2018) Zhihong Zhang et al. PATTERN RECOGNITION
- ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing
- (2018) Yan Yang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Optic disc segmentation based on variational model with multiple energies
- (2017) Baisheng Dai et al. PATTERN RECOGNITION
- Quadratic divergence regularized SVM for optic disc segmentation
- (2017) Jun Cheng et al. Biomedical Optics Express
- PCA-based localization approach for segmentation of optic disc
- (2017) Varun P. Gopi et al. International Journal of Computer Assisted Radiology and Surgery
- Model-driven deep-learning
- (2017) Zongben Xu et al. National Science Review
- Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion
- (2016) Pavle Prentašić et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Segmentation of the Blood Vessels and Optic Disk in Retinal Images
- (2014) Ana Salazar-Gonzalez et al. IEEE Journal of Biomedical and Health Informatics
- Computer-aided diagnosis of diabetic retinopathy: A review
- (2013) Muthu Rama Krishnan Mookiah et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology
- (2013) S. Morales et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Combining algorithms for automatic detection of optic disc and macula in fundus images
- (2011) Rashid Jalal Qureshi et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach
- (2010) Daniel Welfer et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automatic Optic Disc Detection From Retinal Images by a Line Operator
- (2010) Shijian Lu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Fast Localization of the Optic Disc Using Projection of Image Features
- (2010) Ahmed E Mahfouz et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques
- (2010) Arturo Aquino et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started