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Detection of intracranial hemorrhage on CT scan images using convolutional neural network
(Brac University, 2021-09)
Intracranial hemorrhage is an acute bleeding within the skull which can damage
the brain tissue and can eventually lead to disability or even death. It is a serious
medical condition that occurs when blood is built up ...
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 ...
Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
(Brac University, 2024-01)
Ocular toxoplasmosis (OT) is often diagnosed by a specialist by the examination
of fundus images of the eye. While deep learning is commonly used to process
and identify diseases in medical images, ocular toxoplasmosis ...