Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiska uppgifter
Huvudupphovsmän: Islam, Tahsin, Absar, Shahriar, Nasif, S.M. Ali Ijtihad, Mridul, Sadman Sakib
Övriga upphovsmän: Islam, MD.Saiful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2021
Ämnen:
Covid-19
Respiratory diseases
X-ray
CT-Scan
Deep Neural Network
CNN
VGG19
Inception v3
MobileNetV2
Resnet-50
Rapid approach
Neural networks (Computer science)
Machine learning
Respiratory agents
Länkar:http://hdl.handle.net/10361/15677

Internet

http://hdl.handle.net/10361/15677

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