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Please use this identifier to cite or link to this item: http://tainguyenso.dut.udn.vn/handle/DUT/4909
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dc.contributor.advisorNinh, Khanh Duy, PhD-
dc.contributor.authorNguyen, Thi Hai Yen-
dc.date.accessioned2024-06-05T01:32:14Z-
dc.date.available2024-06-05T01:32:14Z-
dc.date.issued2023-
dc.identifier.urihttp://tainguyenso.dut.udn.vn/handle/DUT/4909-
dc.descriptionDA. TI.24.597; 80 trvi
dc.description.abstractThe main objective of the graduate project is to explore deep learning models for aiding in the detection and segmentation of brain tumors from MRI images. Besides, based on the result of that study, the project aims to develop an application that can swiftly and effectively assist doctors in providing supportive diagnoses. This research and application attempt to automate and enhance the speed and precision of medical interventions, ultimately contributing to improved patient care. In addition to the purposes to aid in disease prediction, the application will also detect and provide solutions to handle the problem of imbalanced data.vi
dc.language.isoenvi
dc.publisherTrường Đại học Bách khoa - Đại học Đà Nẵngvi
dc.subjectSoftware Engineeringvi
dc.subjectBrain tumor detectionvi
dc.subjectDeep Learningvi
dc.titleBrain tumor detection and localization using deep learningvi
dc.typeĐồ ánvi
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