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.

Détails bibliographiques
Auteurs principaux: Tanvir, Nazmul Karim, Yeasin, MD. Nadim, MD. Mahmuduzzaman, Sarker, Ara, Jannat
Autres auteurs: Alam, Md. Ashraful
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
Cardiovascular Disease (CVDs)
Ejection fraction (EF)
CNN
Heart failure (HF)
Vgg-19
Vgg-16
Inception-V3
Cardiac MRI data
Health informatics
Optical data processing
Accès en ligne:http://hdl.handle.net/10361/21837
Description
Résumé:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

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