Browsing by Subject "Vision transformers"
Now showing items 1-4 of 4
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Classification of potato and corn leaf diseases using deep learning
(Brac University, 2024-06)One of the major hindrances to sustainable agriculture and an imminent threat to food security is plant disease. Constantly monitoring a plant’s health and spotting the problems in it is quite painstaking because it ... -
Detection of pulmonary diseases from chest X-ray images using deep learning model
(BRAC University, 2024-10)Deep learning models are important in efficiently identifying different pulmonary diseases from Chest X-ray Images (CXRs). Pneumonia is one of the most common lung diseases that cause death. Especially, stage 4 pneumonia ... -
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 ... -
Unveiling agricultural insights: leveraging deep learning for enhanced diagnostic accuracy in Maize disease detection with explainable artificial intelligence
(BRAC University, 2024-10)Maize is a vital crop that feeds over a billion people worldwide and supports numerous industries. However, maize production is threatened by devastating plant diseases such as Maize Lethal Necrosis (MLN) and Maize Streak ...
