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MedicineComputer Science

Optimization and fine-tuning of DenseNet model for classification of COVID-19 cases in medical imaging

Tavishee Chauhan, Dr Hemant Palivela, Sarveshmani Tiwari

2021.6.10International Journal of Information Management Data Insights

DOI: 10.1016/j.jjimei.2021.100020

tlooto Summary

A deep learning-based approach is used for image classification to detect COVID-19 using chest X-ray images (CXR), and the concept of early stopping is used to enhance the accuracy of the proposed DenseNet model.

Abstract

Abstract is not available.

Citation format

CHAUHAN, Tavishee; PALIVELA, Dr Hemant; TIWARI, Sarveshmani. Optimization and fine-tuning of densenet model for classification of COVID-19 cases in medical imaging. International Journal of Information Management Data Insights, 2021, 1: 100020–100020.