Browsing by Subject "Fundus images"

Now showing items 1-3 of 3

An efficient deep learning-based multi-classification of ocular toxoplasmosis and its secondary complications from fundus images

SPARSHO, AVISHEK ROY; SAHA, JOYEETA; SHOVON, MD. MUSFIQUR RAHMAN; AHAMED, MARZUK; BIVA, ANONNA AMIN (BRAC University, 2024-12)

"Ocular Toxoplasmosis is considered a leading cause of visual impairment when not diagnosed and treated correctly on time. Its complications pose a challenge for accurate diagnosis and treatment. This study represents ...
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network

Ismail, Sayem Mohammad; Hossain, Md. Sajjad; Sobhan, Irina (Brac University, 2020-06)

Transfer learning techniques in deep learning is nowadays a raising and promising ﬁeld of research and a tool for Artiﬁcial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ...
RetinalNet-500: a newly developed CNN model for eye disease detection

Toki, Sadikul Alim; Rahman, Sohanoor; Fahim, SM Mohtasim Billah; Mostakim, Abdullah Al (Brac University, 2022-05)

Fundus images are commonly used by medical experts like ophthalmologists, which are very helpful in detecting various retinal disorders. They used this to diagnose the different types of eye diseases like Cataracts, ...