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 |
---|---|
Drugi avtorji: | Alam, Md. Ashraful |
Format: | Thesis |
Jezik: | English |
Izdano: |
Brac University
2022
|
Teme: | |
Online dostop: | http://hdl.handle.net/10361/16785 |
Podobne knjige/članki
-
Crystals, x-rays and proteins
od: Sherwood, Dennis -
Thoracic complication detection on chest X-rays using deep learning
od: Ratul, Rizwanul Hoque, et al.
Izdano: (2021) -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
od: Sagor, Mostofa Kamal, et al.
Izdano: (2021) -
Elements of x-ray diffraction /
od: Cullity, B. D. (Bernard Dennis)
Izdano: (2002) -
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
od: Ahmed, Sarder Tanvir, et al.
Izdano: (2024)