A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM
A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM is a paper indexed in ScholarIQ from OpenAlex.
How many citations does A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM have?
A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM has 32 citations in the OpenAlex counts ScholarIQ stores.
When was A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM published?
A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM has 2022 year in the ScholarIQ index.
What is the open-access status of A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM?
A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM has closed oa status in the ScholarIQ index.
What is the DOI of A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM?
The DOI for A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM is on the source record.
What is the OpenAlex record for A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM?
The OpenAlex for A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM is on the source record.