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Tag: Random-forest

Abstract design with connected circles

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

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Lesion Detection in CT scan (Hemorrhagic stroke)

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

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Real Time OCR - road sign

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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Lymph Nodes of Lungs and Mediastinum

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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