Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Simeon Mayala"'
Autor:
Simeon Mayala, Jonas Bull Haugsøen
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Image segmentation is the process of partitioning an image into separate objects or regions. It is an essential step in image processing to segment the regions of interest for further processing. We propose a method for segmenting
Externí odkaz:
https://doaj.org/article/ee5df4c81f584b15900229ad757856b8
Autor:
Simeon Mayala, Ida Herdlevær, Jonas Bull Haugsøen, Shamundeeswari Anandan, Sonia Gavasso, Morten Brun
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning parameters. The steps involve preprocessing, making a
Externí odkaz:
https://doaj.org/article/eee7cc35e6234fce85243c15f6185ac7
Autor:
Simeon Mayala, Ida Herdlevær, Jonas Bull Haugsøen, Shamundeeswari Anandan, Nello Blaser, Sonia Gavasso, Morten Brun
Publikováno v:
Journal of Imaging, Vol 8, Iss 10, p 262 (2022)
Brain segmentation in magnetic resonance imaging (MRI) images is the process of isolating the brain from non-brain tissues to simplify the further analysis, such as detecting pathology or calculating volumes. This paper proposes a Graph-based Unsuper
Externí odkaz:
https://doaj.org/article/b7b1ddde42d04d59b667b838ed3a1e4f
Autor:
Jonas Bull Haugsøen, Simeon Mayala
Publikováno v:
BMC Medical Imaging
BackgroundImage segmentation is the process of partitioning an image into separate objects or regions. It is an essential step in image processing to segment the regions of interest for further processing. We propose a method for segmenting the nucle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd2c49c83c65e4a722d9735e3fec170
https://hdl.handle.net/11250/3010963
https://hdl.handle.net/11250/3010963
