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Predicting the possibility of Chronic Pancreatitis

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dc.contributor.author Wickramarachchi, Bawantha
dc.date.accessioned 2024-05-07T08:45:27Z
dc.date.available 2024-05-07T08:45:27Z
dc.date.issued 2023
dc.identifier.citation Wickramarachchi, Bawantha (2023) Predicting the possibility of Chronic Pancreatitis. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018624
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2129
dc.description.abstract "Chronic Pancreatitis is a disease that causes irreversible damage due to the inflammation of the pancreas. If this disease is not diagnosed early, it will have a critical impact on the user's health. In the project, the author tries to predict the possibility of Chronic Pancreatitis level for an MRI or CT image of the abdomen. In order to give the prediction, a CNN classification model will be used used in this study. Apart from the predicted outcome, the model will also show the predicted possibilities related to healthy and pancreatitis status. The main approach of this study is to increase the awareness of medical experts and patients toward Chronic Pancreatitis. Since this model output results with predicted percentages, it also helps to have an idea about the seriousness of the disease. The author developed two models to output the predictions for MRI and CT images separately. After going through a trough evaluation and testing developed model was able to increase up to a point where it shows 89.55% for the CT prediction model and 88.18% for the MRI prediction model." en_US
dc.language.iso en en_US
dc.subject Chronic Pancreatitis en_US
dc.subject Medical Imaging en_US
dc.subject Deep Learning en_US
dc.title Predicting the possibility of Chronic Pancreatitis en_US
dc.type Thesis en_US


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