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Classification of peripheral blood cell images using deep learning
(Brac University, 2023-01)
Diagnosis and Identification of cells and disease infected cells are and important
part of in medical science that bears huge significance even today. There are health
implications can often be identified my observing ...
Early detection of diabetic retinopathy using deep learning techniques
(Brac University, 2021-10)
We, humans, are the bearer of diseases. While most of them have a thoroughly
researched and contemplated solution set, some of them do not. Diabetes is one of
those common diseases that do not have a clear solution but ...
Visual object classification from fMRI data
(Brac University, 2022-01)
Computing devices were once limited in just calculating arithmetic. Whereas, in
modern computing, complex task like object classi cation or recognition has become
so popular that even our smart devices cannot be thought ...
Epileptic seizure prediction using bandpass filtering and convolutional neural network
(Brac University, 2022-01)
Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical
disturbance in the brain. Seizures that last for a long time might result in
memory loss, weariness, photo sensitivity, paralysis, ...
Diabetic retinopathy detection and classification by using deep learning
(Brac University, 2022-01)
Eyes are the most sensitive part of a human being and it is one of the most challenging
tasks for a computer-aided system to classify its diseases. Many visionthreatening
diseases such as, Glaucoma and Diabetic Retinopathy ...