An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Prif Awduron: | Khan, Farhan Sakib, Ferdaus, Nowshin, Hossain, Tamim, Islam, Quazi Sabrina, Islam, Md. Iftakharul |
---|---|
Awduron Eraill: | Alam, Md. Ashraful |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
Brac University
2022
|
Pynciau: | |
Mynediad Ar-lein: | http://hdl.handle.net/10361/17570 |
Eitemau Tebyg
-
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
gan: Rahman, Afridi Ibn, et al.
Cyhoeddwyd: (2022) -
Citrus leaf disease detection by image processing
gan: Chowdhury, Mahir Faisal, et al.
Cyhoeddwyd: (2024) -
Analyzing students’ concentration in online courses through Webcam
gan: Asif, Md., et al.
Cyhoeddwyd: (2024) -
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
gan: Ismail, Sayem Mohammad, et al.
Cyhoeddwyd: (2021) -
MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
gan: Haque, Abid Hossain, et al.
Cyhoeddwyd: (2024)