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.

Detalles Bibliográficos
Autores principales: Tanvir, Nazmul Karim, Yeasin, MD. Nadim, MD. Mahmuduzzaman, Sarker, Ara, Jannat
Otros Autores: Alam, Md. Ashraful
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Cardiovascular Disease (CVDs)
Ejection fraction (EF)
CNN
Heart failure (HF)
Vgg-19
Vgg-16
Inception-V3
Cardiac MRI data
Health informatics
Optical data processing
Acceso en línea:http://hdl.handle.net/10361/21837

Internet

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

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