An efficient deep learning approach to detect COVID-19 infected lungs using image data
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Main Authors: | Kabir, Asif Rezwan, Roy, Shutirtha, Zerin, Nusrat, Afrin, Sheikh Sharia, Choudhury, Anika Jahan |
---|---|
其他作者: | Alam, Md. Ashraful |
格式: | Thesis |
語言: | English |
出版: |
Brac University
2022
|
主題: | |
在線閱讀: | http://hdl.handle.net/10361/16785 |
相似書籍
-
Crystals, x-rays and proteins
由: Sherwood, Dennis -
Thoracic complication detection on chest X-rays using deep learning
由: Ratul, Rizwanul Hoque, et al.
出版: (2021) -
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) -
Elements of x-ray diffraction /
由: Cullity, B. D. (Bernard Dennis)
出版: (2002) -
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
由: Ahmed, Sarder Tanvir, et al.
出版: (2024)