Browsing by Subject "GradCAM"

Now showing items 1-3 of 3

Classification of retinal diseases from OCT images using deep learning models

Mokarrom, Md Saif; Shuvo, Md Anonto; Oyon, Nazmul Hasan; Munaja, Rifha Hossain; Roy, Soumik (Brac University, 2024-01)

Retina is an important part of our vision, but it can easily get affected and create various vision problems like vision loss and others. According to the statistics provided by The World Health Organization, it is ...
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence

Mim, Ankhi Akter; Ashakin, Kazi Habibul; Hossain, Sadat; Orchi, Nabiha Tasnim; Him, Al Shahriar (Brac University, 2024-01)

Advances between medical imaging and artificial intelligence (AI) have led to improvements in cancer diagnosis and classification. This paper provides a new framework called Explainable AI for cancer categorization ...
An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM

Bhuiyan, Mahdi Hasan; Haldar, Sumit; Chowdhury, Maisha Shabnam; Bushra, Nazifa; Jilan, Tahsin Zaman (Brac University, 2024-01)

Early detection of retinal diseases can help people avoid going completely or partially blind. In this research, we will be implementing an interpretable diagnosis of retinal diseases using a hybrid model containing ...