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Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq

open access: yesAdvanced Science, EarlyView.
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su   +10 more
wiley   +1 more source
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An Integrated Color and Intensity Co-occurrence Matrix

Pattern Recognition Letters, 2007
The paper presents a novel approach for representing color and intensity of pixel neighborhoods in an image using a co-occurrence matrix. After analyzing the properties of the HSV color space, suitable weight functions have been suggested for estimating relative contribution of color and gray levels of an image pixel.
A. Vadivel, Shamik Sural, A.K. Majumdar
openaire   +3 more sources

Image retrieval based on the texton co-occurrence matrix

Pattern Recognition, 2008
This paper put forward a new method of co-occurrence matrix to describe image features. This method can express the spatial correlation of textons. During the course of feature extracting, we have quantized the original images into 256 colors and computed color gradient from the RGB vector space, and then calculated the statistical information of ...
Guang-Hai Liu, Jing-Yu Yang
openaire   +3 more sources

Cracklike defects sizing from co-occurrence matrix

IEEE Symposium on Ultrasonics, 2002
The inspection of austenitic welds used in the nuclear field with ultrasound involves problems of interpretation: intense grain noise makes the detection of the crack difficult. The formation B-scan images and their digital processing increase the effectiveness of testing. A segmentation method based on the cooccurrence matrix is presented.
J. Moysan   +4 more
openaire   +1 more source

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