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.

Bibliographische Detailangaben
Hauptverfasser: Tanvir, Nazmul Karim, Yeasin, MD. Nadim, MD. Mahmuduzzaman, Sarker, Ara, Jannat
Weitere Verfasser: Alam, Md. Ashraful
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
Cardiovascular Disease (CVDs)
Ejection fraction (EF)
CNN
Heart failure (HF)
Vgg-19
Vgg-16
Inception-V3
Cardiac MRI data
Health informatics
Optical data processing
Online Zugang:http://hdl.handle.net/10361/21837

Online

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

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