15Dec

Statistical pattern discovery in big data

By R. A. / 15/12/2016 / RSIP Vision Learns / No Comments

The explosion of data collection techniques and resources is a known phenomenon of the current day and age. Human analysis of such large datasets is largely infeasible and the vast amount of information can only be dealt systematically and efficiently by algorithmic means. The so called ‘big data...

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19Jul

Lesion segmentation by random-forest classifiers

By R. A. / 19/07/2016 / RSIP Vision Learns / No Comments

Segmentation of lesions in images, such as those obtained from MRI, ultrasound, CT etc, can be viewed as classifying pixels (or voxels, in the 3-D case) of the image into one or more classes. In the general case, several classes are used, indicating the membership, or probability of each pixel to...

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18Feb

Real time OCR in natural scenes

By R. A. / 18/02/2016 / RSIP Vision Learns / No Comments

The localization and recognition of written characters has long been utilized by the industries for a variety of applications. Most Optical Character Recognition (OCR) system perform accurately when working in sterile environment, e.g. scanners and static scenes. With the advancement in technolog...

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19Jan

Lung Lymph Nodes Detection

By Felicity / 19/01/2016 / RSIP Vision Learns / No Comments

Analyzing pulmonary lymph nodes can give us valuable information for lung cancer diagnosis, staging and evaluation of reaction to treatment. As a consequence, automatic and reliable segmentation and detection of enlarged lymph nodes in the lungs can be a breakthrough of remarkable clinical value....

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