Abstract
Brain image analysis is an emerging area of researchers to improve the diagnosis process more fast and accurate. One of the difficulties is getting the clinical dataset of patients from hospitals to test the performance of the proposed methods. Therefore, numerous online brain image repositories are available to promote the research works. It has manually segmented results to evaluate the accuracy of the developed methods. Each repository has different file format and focused on different problems like skull stripping, tumorous image classification, tumor type categorization, tissue segmentation and tumor with substructure segmentation. This paper gives detail information on famous brain datasets with their purpose.
Cite
CITATION STYLE
Online Brain Image Repositories for Brain Disease Detection. (2019). International Journal of Innovative Technology and Exploring Engineering, 9(2S2), 864–867. https://doi.org/10.35940/ijitee.b1134.1292s219
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