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.
Hoofdauteurs: | Sagor, Mostofa Kamal, Jahan, Ishrat, Chowdhury, Susmita, Ansary, Rubayet |
---|---|
Andere auteurs: | Alam, Md. Ashraful |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2021
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/15753 |
Gelijkaardige items
-
Thoracic complication detection on chest X-rays using deep learning
door: Ratul, Rizwanul Hoque, et al.
Gepubliceerd in: (2021) -
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
door: Ahmed, Sarder Tanvir, et al.
Gepubliceerd in: (2024) -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
door: Akhter, Nasrin
Gepubliceerd in: (2023) -
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
door: Niloy, Ahashan Habib, et al.
Gepubliceerd in: (2021) -
X-Ray classification to detect COVID-19 using ensemble model
door: Solaiman, Ishmam Ahmed, et al.
Gepubliceerd in: (2021)