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Processing of MRI images for detection of brain tumors

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dc.contributor.advisor ADOCHIEI, Felix Constantin
dc.contributor.author DOROBANȚU, Laura Elena
dc.contributor.author RADU, Dan Gabriel
dc.contributor.author DUȚĂ, Ștefana
dc.date.accessioned 2023-09-15T10:14:32Z
dc.date.available 2023-09-15T10:14:32Z
dc.date.issued 2023
dc.identifier.citation DOROBANȚU, Laura Elena, RADU, Dan Gabriel, DUȚĂ Ștefana. Basics of designing assistants for orientation blind people. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, Universitatea Tehnică a Moldovei, 5-7 aprilie 2023. Chișinău, 2023, vol. 2, pp. 130-134. ISBN 978-9975-45-956-3. ISBN 978-9975-45-957-7 (Vol.2). en_US
dc.identifier.isbn 978-9975-45-956-3
dc.identifier.isbn 978-9975-45-957-7
dc.identifier.uri http://repository.utm.md/handle/5014/24003
dc.description.abstract We used the MRI technique to achieve a dataset of ten images: five healthy brain images and five images of brains with tumors. To highlight tumor development, the images were preprocessed using OpenCV, converted into grayscale, then underwent contrast changes, resizing, and Gaussian blur. The feature extraction stage involved binarizing images in well-defined values and extracting the tumor contour using the "find_contours" and "grab_contours" functions. The segmentation stage added the contour to a copy of the resized image, highlighted it with endpoints, and cropped the image to the edges of the contour. The results showed the changes in the tumor area after contrast and well-defined tumor tissues after feature extraction and segmentation. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject Magnetic resonance imaging (MRI) en_US
dc.subject brain tumors en_US
dc.title Processing of MRI images for detection of brain tumors en_US
dc.type Article en_US


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