An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Huvudupphovsmän: | Sagor, Mostofa Kamal, Jahan, Ishrat, Chowdhury, Susmita, Ansary, Rubayet |
---|---|
Övriga upphovsmän: | Alam, Md. Ashraful |
Materialtyp: | Lärdomsprov |
Språk: | English |
Publicerad: |
Brac University
2021
|
Ämnen: | |
Länkar: | http://hdl.handle.net/10361/15753 |
Liknande verk
-
Thoracic complication detection on chest X-rays using deep learning
av: Ratul, Rizwanul Hoque, et al.
Publicerad: (2021) -
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
av: Ahmed, Sarder Tanvir, et al.
Publicerad: (2024) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
av: Akhter, Nasrin
Publicerad: (2023) -
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
av: Niloy, Ahashan Habib, et al.
Publicerad: (2021) -
X-Ray classification to detect COVID-19 using ensemble model
av: Solaiman, Ishmam Ahmed, et al.
Publicerad: (2021)