Go Back Research Article May, 2020

Checxray: A Saas Application for Chest X-Ray Diagnosis

Abstract

Training a Deep learning model is a highly computational demanding task and requires a high-end graphics card for parallelism in training a Deep Convolutional Neural Network for numerical calculation. These production level cards are not easily accessible to everyone and are extremely costly. The paper discusses a distributed training strategy used for training a deep convolutional neural network on multiple consumer graphics cards along with the deployment architecture for inference on a SaaS application.

Keywords

Deep Learning Distributed Training Convolutional Neural Network Numerical Calculation Parallelism Consumer Graphics Cards GPU Cost-effective Training Deployment Architecture Inference SaaS Chest X-Ray Diagnosis Medical Imaging Checxray Healthcare AI Scalable Model Training Deep Convolutional Neural Network Computational Demands Production-level Cards Medical Imagining Healthcare
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Volume 9
Issue 5
Pages 528-531
ISSN 2278-0181
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