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Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)
Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the
strongest of souls. The disease is often thought of as untreatable and unbearably
painful, with usually, no cure available. Among all the ...
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 ...
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
(Brac University, 2022-05)
Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal
problems that can be used in combination with traditional diagnostic testing
methods. We developed and implemented a deep Convolutional ...