Please use this identifier to cite or link to this item: http://repo.knmu.edu.ua/handle/123456789/7859
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dc.contributor.authorAlani, Adeem Farkad Yousif-
dc.contributor.authorKufterina, Nataliya-
dc.date.accessioned2014-11-23T18:23:04Z-
dc.date.available2014-11-23T18:23:04Z-
dc.date.issued2014-05-15-
dc.identifier.citationAlani A. F. Tumor of the brain in the chlidren / A. F. Alani, N. S. Kufterina // 7th International Scientific Interdisciplinary Conference (ISIC) for medical students and young scientists, Kharkiv, May 15–16, 2014 : abstract book / KhNMU. – Kharkiv, 2014. – P. 222.uk_UA
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/7859-
dc.description.abstractThe segmentation of brain tumors in magnetic resonance images is a challenging and difficult task because of the variety of their possible shapes, locations, image intensities. In this Review paper, it is intended to summarize and compare the methods of automatic detection of brain tumor through Magnetic Resonance Image used in different stages of Computer Aided Detection System. Brain Image classification techniques are studied.uk_UA
dc.language.isoenuk_UA
dc.publisherKharkiv National Medical Universityuk_UA
dc.subjectbrainuk_UA
dc.subjecttumoruk_UA
dc.subjectchildrenuk_UA
dc.titleTumor of the brain in the chlidrenuk_UA
dc.typeArticleuk_UA
Appears in Collections:Наукові роботи молодих вчених. Кафедра неврології № 1

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