Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Applications of Digital Image Processing XL 2017
Год издания: 2017
Идентификатор DOI: 10.1117/12.2272792
Ключевые слова: brain tumor detection, edge detection, image analysis, Medical imaging, shearlet transform
Аннотация: Brain tumor detection is well known research area for medical and computer scientists. In last decades there has been much research done on tumor detection, segmentation, and classification. Medical imaging plays a central role in the diagnosis of brain tumors and nowadays uses methods non-invasive, high-resolution techniques, espeПоказать полностьюcially magnetic resonance imaging and computed tomography scans. Edge detection is a fundamental tool in image processing, particularly in the areas of feature detection and feature extraction, which aim at identifying points in a digital image at which the image has discontinuities. Shearlets is the most successful frameworks for the efficient representation of multidimensional data, capturing edges and other anisotropic features which frequently dominate multidimensional phenomena. The paper proposes an improved brain tumor detection method by automatically detecting tumor location in MR images, its features are extracted by new shearlet transform. © 2017 SPIE.
Журнал: Proceedings of SPIE - The International Society for Optical Engineering
Выпуск журнала: Vol. 10396
Номера страниц: 103961
ISSN журнала: 0277786X
Издатель: SPIE