X-Ray classification to detect COVID-19 using ensemble model
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Hauptverfasser: | Solaiman, Ishmam Ahmed, Sanjana, Tasnim Islam, Sobhan, Samila, Maria, Tanzila Sultana |
---|---|
Weitere Verfasser: | Rahman, Md Khalilur |
Format: | Abschlussarbeit |
Sprache: | English |
Veröffentlicht: |
Brac University
2021
|
Schlagworte: | |
Online Zugang: | http://hdl.handle.net/10361/15537 |
Ähnliche Einträge
-
Thoracic complication detection on chest X-rays using deep learning
von: Ratul, Rizwanul Hoque, et al.
Veröffentlicht: (2021) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
von: Akhter, Nasrin
Veröffentlicht: (2023) -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
von: Sagor, Mostofa Kamal, et al.
Veröffentlicht: (2021) -
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
von: Niloy, Ahashan Habib, et al.
Veröffentlicht: (2021) -
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
von: Ahmed, Sarder Tanvir, et al.
Veröffentlicht: (2024)