9Nov

Biomedical image processing and algorithms

By R. A. / 09/11/2017 / RSIP Vision Learns / No Comments

Biomedical image processing (or more precisely, biomedical image and signal processing) consists in sophisticated analytical methods and algorithms, ubiquitously found integrated into diagnostic equipment and clinical imaging modalities. The contribution of biomedical image processing and compute...

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13Jun

Cell Classification software

By R. A. / 13/06/2017 / RSIP Vision Learns / No Comments

One ml of human blood contains roughly 5 million red blood cells. This huge quantity is only a fraction of what is found in one ml of blood, which contains roughly 60% fluid (plasma) and the remaining white cells, red blood cells and platelets. The composition of blood is examined routinely in ho...

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13Sep

Breakthroughs in biomedical imaging

By R. A. / 13/09/2016 / RSIP Vision Learns / No Comments

During the last few decades, the field of biomedical imaging was shaken by major breakthroughs, which have completely changed the way physicians can observe imaging data. For instance, not long time ago, radiologists received images (taken by CT, MRI or X-Ray) and had to analyze them from scratch...

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11Feb

Trajectory tracking of a fluorescent tag

By R. A. / 11/02/2016 / RSIP Vision Learns / No Comments

Limitation of microscopic modalities to directly observe sub-cellular structures has led to the development of indirect measuring procedures based on single particle tracking. Analysis of trajectories of a fluorescently tagged particle allows indirect estimation of the spatial organization of the...

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9Feb

Detecting Mitosis Using Deep Neural Networks

By R. A. / 09/02/2016 / RSIP Vision Learns / No Comments

Several prognostic factors indicate the state and progression of breast cancer. Grading of the state of progression and spreading of cancer enables to start the suggested treatment. In solid tumors, like breast cancer, one such prognostic factor is the mitotic figure, i.e. a cell whose chromosome...

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1Dec

Automatic Detection – Diagnostic Readings for HIV

By Felicity / 01/12/2013 / Projects / No Comments

RSIP Vision created automatic detection software for Orgenics ImmunComb®, a comb-shaped test for HIV antigens.

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1Dec

Cell Classification

By Felicity / 01/12/2013 / Projects / No Comments

RSIP Vision's cell classification software accurately classifies a large number of cells at a time enabling faster detection of cancer and other abnormalities

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25Nov

Machine Learning, Pattern Recognition & Classification

By Felicity / 25/11/2013 / / No Comments

RSIP Vision's pattern recognition and classification techniques assign input values to a given set of classes teaching the software to classify without help.

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25Nov

Biomedicine

By Felicity / 25/11/2013 / Application Fields / No Comments

RSIP Vision has developed algorithms which reduce the labor required for tasks in biomedicine

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