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Now showing items 11-14 of 14
Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
(Brac University, 2024-01)
Adrenocortical Carcinoma (ACC) is a rare but highly lethal cancer that occurs
in the adrenal cortex. Accurate diagnosis of ACC are vital in order to determine
appropriate treatment strategies and predict patient outcomes. ...
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
(Brac University, 2024-01)
Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized
by abnormal enhancement of the meninges following trauma, often observed
in medical imaging studies. Traumatic meningeal injuries result ...
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
(Brac University, 2024-01)
Cancer is a complex and highly invasive disease that forms due to the abnormal
growth of cells in any part of the body. A majority of cancers are unraveled and
treated by incorporating advanced technology. However, ovarian ...
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 ...