Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Main Authors: | Datta, Pranab, Islam, Saniul, Das, Retuparna, Zabir, Mihiran Uddin |
---|---|
מחברים אחרים: | Alam, Md. Golam Rabiul |
פורמט: | Thesis |
שפה: | English |
יצא לאור: |
Brac University
2021
|
נושאים: | |
גישה מקוונת: | http://hdl.handle.net/10361/15762 |
פריטים דומים
-
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
מאת: Khan, Farhan Sakib, et al.
יצא לאור: (2022) -
Retinal Diseases Detection using Deep Learning
מאת: Mashfi, Shahriar, et al.
יצא לאור: (2023) -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
מאת: Shahriar, Hasan, et al.
יצא לאור: (2022) -
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
מאת: Irfanuddin, Chowdhury Mohammad, et al.
יצא לאור: (2023) -
Diabetic retinopathy detection using machine learning
מאת: Maliha, Maisha, et al.
יצא לאור: (2018)