Multi-label classification of fundus images with graph convolutional network and LightGBM
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-label classification of fundus images with graph convolutional network and LightGBM
Authors
Keywords
-
Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume -, Issue -, Pages 105909
Publisher
Elsevier BV
Online
2022-08-11
DOI
10.1016/j.compbiomed.2022.105909
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning
- (2022) Da Ma et al. COMPUTERS IN BIOLOGY AND MEDICINE
- MSEva: A Musculoskeletal Rehabilitation Evaluation System Based on EMG Signals
- (2022) Yuanchao Dai et al. ACM Transactions on Sensor Networks
- Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
- (2022) Hang Su et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Adoption value of deep learning and serological indicators in the screening of atrophic gastritis based on artificial intelligence
- (2021) Jianhai Zhang et al. JOURNAL OF SUPERCOMPUTING
- Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning
- (2021) Ayaka Sugeno et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Image segmentation algorithm of lung cancer based on neural network model
- (2021) Binjun He et al. EXPERT SYSTEMS
- Multi-label ocular disease classification with a dense correlation deep neural network
- (2020) Junjun He et al. Biomedical Signal Processing and Control
- Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network
- (2020) Neha Gour et al. Biomedical Signal Processing and Control
- Deep learning-based classification of retinal atrophy using fundus autofluorescence imaging
- (2020) Alexandra Miere et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract
- (2020) Shuai Wang et al. IEEE Journal of Biomedical and Health Informatics
- Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images
- (2019) Jaemin Son et al. OPHTHALMOLOGY
- Deep learning-based automated detection of retinal diseases using optical coherence tomography images
- (2019) Feng Li et al. Biomedical Optics Express
- Diabetic retinopathy detection using red lesion localization and convolutional neural networks
- (2019) Gabriel Tozatto Zago et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Age-related Macular Degeneration detection using deep convolutional neural network
- (2018) Jen Hong Tan et al. Future Generation Computer Systems-The International Journal of eScience
- Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
- (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
- Artificial intelligence in retina
- (2018) Ursula Schmidt-Erfurth et al. PROGRESS IN RETINAL AND EYE RESEARCH
- Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
- (2018) Mark Christopher et al. Scientific Reports
- An artificial intelligence platform for the multihospital collaborative management of congenital cataracts
- (2017) Erping Long et al. Nature Biomedical Engineering
- Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
- (2017) Joon Yul Choi et al. PLoS One
- 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
- The Pathophysiology and Treatment of Glaucoma
- (2014) Robert N. Weinreb et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk 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