Improving Classification Efficiency Based on Combination of Extreme Gradient Boosting and Deep Transfer Learning
Author:
Affiliation:
1. King Mongkut’s Institute of Technology Ladkrabang,School of Information Technology,Bangkok,Thailand,10520
2. Silpakorn University,Faculty of Engineering and Industrial Technology,Department of Chemical Engineering,Nakhon Pathom,Thailand,73000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10507208/10507251/10507377.pdf?arnumber=10507377
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1. A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification
2. Glaucoma Detection Using Fundus Images of The Eye
3. A Deep Convolutional Neural Network For Diagnosis of Diabetic Retinopathy
4. A Hybrid Global-Local Representation CNN Model for Automatic Cataract Grading
5. An Exploratory Study for Glaucoma Detection using Densely Connected Neural Networks
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