InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification

<p dir="ltr">We present a shape processing framework for visual exploration of cellular nuclear envelopes extracted from microscopic images arising in histology and neuroscience. The framework is based on a novel shape descriptor of closed contours in 2D and 3D. In 2D, it relies on a...

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Bibliographic Details
Main Author:	Khaled Al-Thelaya (17302711) (author)
Other Authors:	Marco Agus (8032898) (author), Nauman Ullah Gilal (17302714) (author), Yin Yang (35103) (author), Giovanni Pintore (17302717) (author), Enrico Gobbetti (17302720) (author), Corrado Calí (17302723) (author), Pierre J. Magistretti (8032907) (author), William Mifsud (1394) (author), Jens Schneider (16885948) (author)
Published:	2021
Subjects:	Biological sciences Microbiology Biomedical and clinical sciences Neurosciences Engineering Biomedical engineering Information and computing sciences Human-centred computing Shape analysis Histopathology Serial section electron microscopy Nuclear envelopes Discrete differential geometry
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InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification

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