An efficient deep learning approach to predict heart failure from image data using ejection fraction

An efficient deep learning approach to predict heart failure from image data using ejection fraction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiska uppgifter
Huvudupphovsmän: Tanvir, Nazmul Karim, Yeasin, MD. Nadim, MD. Mahmuduzzaman, Sarker, Ara, Jannat
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2023
Ämnen:
Cardiovascular Disease (CVDs)
Ejection fraction (EF)
CNN
Heart failure (HF)
Vgg-19
Vgg-16
Inception-V3
Cardiac MRI data
Health informatics
Optical data processing
Länkar:http://hdl.handle.net/10361/21837

Internet

http://hdl.handle.net/10361/21837

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