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.
Main Authors: | Solaiman, Ishmam Ahmed, Sanjana, Tasnim Islam, Sobhan, Samila, Maria, Tanzila Sultana |
---|---|
其他作者: | Rahman, Md Khalilur |
格式: | Thesis |
语言: | English |
出版: |
Brac University
2021
|
主题: | |
在线阅读: | http://hdl.handle.net/10361/15537 |
相似书籍
-
Thoracic complication detection on chest X-rays using deep learning
由: Ratul, Rizwanul Hoque, et al.
出版: (2021) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
由: Akhter, Nasrin
出版: (2023) -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
由: Sagor, Mostofa Kamal, et al.
出版: (2021) -
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
由: Niloy, Ahashan Habib, et al.
出版: (2021) -
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
由: Ahmed, Sarder Tanvir, et al.
出版: (2024)