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Statistics Seminar
Department of Mathematical Sciences

DATE:Thursday, October 7, 2021
TIME:1:15pm – 2:15pm
LOCATION:Zoom meeting
SPEAKER:Yifei Zeng, Binghamton University

chest x-ray images |


In this study, they propose CoroNet, a Deep Convolutional Neural Network model to automati- cally detect COVID-19 infection from chest X-ray images. CoroNet achieved promising results on a small prepared dataset which indicates that given more data, the proposed model can achieve better results with minimum pre-processing of data. Overall, the proposed model substantially advances the current radiology based methodology and during COVID- 19 pandemic, it can be a very helpful tool for clinical practitioners and radiologists to aid them in diagnosis, quantification and follow-up of COVID-19 cases.

seminars/stat/211007.txt · Last modified: 2021/10/02 18:16 by qyu