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.
| 主要な著者: | Tanvir, Nazmul Karim, Yeasin, MD. Nadim, MD. Mahmuduzzaman, Sarker, Ara, Jannat |
|---|---|
| その他の著者: | Alam, Md. Ashraful |
| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
Brac University
2023
|
| 主題: | |
| オンライン・アクセス: | http://hdl.handle.net/10361/21837 |
類似資料
-
Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
著者:: Khan, Abde Musavvir, 等
出版事項: (2021) -
Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
著者:: Asaduzzaman, 等
出版事項: (2021) -
A review on Gene therapy for the treatment of heart failure
著者:: Biswas, Puja
出版事項: (2024) -
A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
著者:: Chowdhury, Asif Hasan, 等
出版事項: (2023) -
An Efficient deep learning approach to detect Brain Tumor using MRI images
著者:: Islam, Annur Tasnim, 等
出版事項: (2022)