Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lenuta Pana"'
Publikováno v:
Computation, Vol 8, Iss 2, p 31 (2020)
Background: The purpose of this article is to provide a new evaluation tool based on skeleton maps to assess the tumoral and non-tumoral regions of the 2D MRI in PD-weighted (proton density) and T2w (T2-weighted type) brain images. Methods: The propo
Externí odkaz:
https://doaj.org/article/e0d3d10e9bb243bfaab9d46173ac52f8
Publikováno v:
2022 E-Health and Bioengineering Conference (EHB).
Publikováno v:
ICSTCC
Construction of 3D brain MRI images from 2D brain MRI images is an important step towards an accurate diagnosis and for a correct treatment plan for any disease. The volume segmentation is a challenging task due to the poor quality of DTI brain image
Publikováno v:
Computation, Vol 8, Iss 31, p 31 (2020)
Computation
Volume 8
Issue 2
Computation
Volume 8
Issue 2
Background: The purpose of this article is to provide a new evaluation tool based on skeleton maps to assess the tumoral and non-tumoral regions of the 2D MRI in PD-weighted (proton density) and T2w (T2-weighted type) brain images. Methods: The propo
Autor:
Lenuta Pana
Publikováno v:
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings.
Akademický článek
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Publikováno v:
Entropy, Vol 22, Iss 11, p 1299 (2020)
A new solution to overcome the constraints of multimodality medical intra-subject image registration is proposed, using the mutual information (MI) of image histogram-oriented gradients as a new matching criterion. We present a rigid, multi-modal ima
Externí odkaz:
https://doaj.org/article/c8b50e8a6ca649b99f466124d27e84bf