Concepedia

Multi-label classification of fundus images with graph convolutional network and LightGBM

Kai Sun, Mengjia He, Xu Yao, Qinying Wu, Zichun He, Wang Li, Hongying Liu, Xitian Pi

Computers in Biology and Medicine · 2022 · 45 citations · 32 references

Concepts

ComputingBiomedical EngineeringComputer ScienceBiomedical ImagingComputer VisionMachine VisionDeep LearningGraph TheoryGraph-based LearningImage ClassificationImage LabelingMedical Image AnalysisGraph ClassificationGraph Convolutional NetworksMedical Image ClassificationMulti-label Image ClassificationMulti-label RecognitionMultilabel ClassificationSupervised Image Classification

References

32

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.5K citations · Full text

Computing, Computer Science, Computer Vision +11

Glove: Global Vectors for Word Representation

Jeffrey Pennington, Richard Socher, Christopher D. Manning · 2014 · 33.8K citations

Computing, Computer Science, Computational Linguistics +14

Rethinking the Inception Architecture for Computer Vision

Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe et al. · 2016 · 30.9K citations

Computing, Computer Science, Computer Vision +13

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

Dagstuhl Research Online Publication Server · 2025 · 16.2K citations · Full text

Computing, Computer Science, Feature Engineering +16

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Guolin Ke, Qi Meng, Thomas Finley et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2017 · 9.5K citations · Full text

Computing, Computer Science, Data Mining +16