Statistical pattern discovery in big data
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
Tag: Random-forest
Lesion segmentation by random-forest classifiers
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
Real time OCR in natural scenes
With the advancement in technology, the demand for OCR in natural environment is growing, even though outdoor conditions are far from being optimal for machine vision applications: occlusion of written text, text orientation, font style, blurring due to camera motion, and lighting conditions can prove themselves significant challenges in the task of performing real time OCR. Great progress has recently been made in the recognition of characters partially occluded and under heavy noise. RSIP Vision tells you how.
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Lung Lymph Nodes Detection
Analyzing pulmonary lymph nodes can give us valuable information for lung cancer diagnosis and treatment. This solution too uses advanced algorithm of computer vision for pulmonology; it also allows to overcome technical difficulties like low image contrast and high nodes variation, offering a drastic improvement over techniques currently used to detect lung lymph nodes.
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