Browsing by Subject "InceptionResNetV2"

Now showing items 1-3 of 3

Detection of intracranial hemorrhage on CT scan images using convolutional neural network

Rahman, Afridi Ibn; Bhuiyan, Subhi; Reza, Ziad Hasan; Zaheen, Jasarat; Khan, Tasin Al Nahian (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

Khan, Farhan Sakib; Ferdaus, Nowshin; Hossain, Tamim; Islam, Quazi Sabrina; Islam, Md. Iftakharul (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 ...
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI

Athina, Fahima Hasan; Sara, Sadaf Ahmed; Tabassum, Nishat; Sarwar, Quazi Sabrina; Jannat Era, Mun Tarin (Brac University, 2022-05)

This research work aims to show a comparative analysis among four different deep learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...