An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
المؤلفون الرئيسيون: | Bhuiyan, Mahdi Hasan, Haldar, Sumit, Chowdhury, Maisha Shabnam, Bushra, Nazifa, Jilan, Tahsin Zaman |
---|---|
مؤلفون آخرون: | Alam, Md. Ashraful |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2024
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/22888 |
مواد مشابهة
-
Classification of retinal diseases from OCT images using deep learning models
بواسطة: Mokarrom, Md Saif, وآخرون
منشور في: (2024) -
Efficient image processing and machine learning approach for predicting retinal diseases
بواسطة: Hasib, Mehadi Hasan, وآخرون
منشور في: (2021) -
Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
بواسطة: Nabil, Sheikh MD. Nafis Noor, وآخرون
منشور في: (2024) -
Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
بواسطة: Choudhury, Prionto Kumar, وآخرون
منشور في: (2024) -
An interpretable transformer based approach to classify Malaria from blood cell images
بواسطة: Islam, Mehafuza, وآخرون
منشور في: (2023)