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Now showing items 41-49 of 49
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
(Brac University, 2023-09)
Skin Cancer is a cancer form that has become very prevalent in recent times and, if
left untreated, has the potential to cause premature death. That is why early diagnosis
and treatment are important to cure this disease. ...
ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
(Brac University, 2024-01)
microbial ecosystems. This has led to their increased utilization in several research
areas, such as bacterial genome engineering, phage therapy, disease diagnostics, and
viral host identification. The structure of phages ...
Sentiment classification on Bengali food and restaurant reviews
(Brac University, 2024-01)
Sentiment analysis, a critical facet of Natural Language Processing (NLP), plays a
pivotal role in decoding human emotions conveyed through text. Despite extensive
research in sentiment analysis for widely spoken languages, ...
An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
(Brac University, 2024-01)
Early detection of retinal diseases can help people avoid going completely or partially
blind. In this research, we will be implementing an interpretable diagnosis
of retinal diseases using a hybrid model containing ...
Silent voice: harnessing deep learning for lip-reading in Bangla
(Brac University, 2024-01)
Understanding speech just through lip movement is known as lipreading. It is a
crucial component of interpersonal interactions. The majority of the previous initiatives
attempted to address the English lipreading issue. ...
Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
(Brac University, 2024-01)
This work aims to analyze the potential of deep neural models for text-based entailment
in Bangla Language. Entailment is the method of determining whether one
text infers or goes against another text. The study concentrates ...
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 ...