7Feb

Automatic segmentation of tumor cells

By R. A. / 07/02/2016 / RSIP Vision Learns / No Comments

Molecular analysis of in histology is a powerful tool to explore prognostic markers after tissue staining. High throughput analysis of histological tissue enables quantification of abnormality in a given tissue, assess patient condition, and devise treatment. Tissue samples taken in biopsy allow ...

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4Feb

Bones and Skeleton segmentation

By R. A. / 04/02/2016 / RSIP Vision Learns / No Comments

Computed tomography (CT) is the most common 3D process used for bone imaging. This is due to the fact that simple thresholding is usually sufficient to identify the bone tissue, based on its higher attenuation of X-rays as compared to soft tissues. The representation of a tridimensional model out...

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3Feb

Lungs tumors and nodules segmentation with Deep Learning

By R. A. / 03/02/2016 / RSIP Vision Learns / No Comments

Lung nodules are masses of tissue in the lung which on a chest X-ray or computerized tomography (CT) scan appear as round, white shadows. Though lung nodules are quite common and most of them are noncancerous (benign), some nodules may be cancerous and it is extremely important to identify them e...

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2Feb

Brain tumor segmentation

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

More than 20,000 adults in the United States (with a higher incidence on men vs. women) are diagnosed every year with primary cancerous tumors of the brain and the spinal cord. It is estimated that more than 15,000 die from this disease yearly. An additional 4,000 children and teens are diagnosed...

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1Feb

Prostate segmentation in MR images

By R. A. / 01/02/2016 / RSIP Vision Learns / No Comments

The prostate gland is part of the male reproductive system. It is found in front of the rectum and below the bladder, surrounding the first part of the urethra. Ultrasound and MRI are the most commonly used techniques to image the prostate gland. In particular, detailed MR images allow to evaluat...

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26Jan

Airways segmentation with Deep Learning

By R. A. / 26/01/2016 / RSIP Vision Learns / No Comments

Image processing is a fundamental technique in the quest to identify physical pathologies. Lung cancer is today one of the main causes of death in the world among both men and women, with an impressive rate of about five million deadly cases per year. The survival rate is strictly related to the ...

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25Jan

Kidney Segmentation

By R. A. / 25/01/2016 / RSIP Vision Learns / No Comments

Human kidneys can suffer from several kinds of diseases. The most dramatically common ailments are kidney cancer, which hits 50,000 new patients every year only in the United States; and kidney failures, which attack the nephrons and leave the organ unable to remove wastes. Kidney diseases may be...

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24Jan

Pulmonary lobes segmentation

By R. A. / 24/01/2016 / RSIP Vision Learns / No Comments

The left lung is divided in two lobes, the upper and the lower lobe. These two lobes are separated by an oblique fissure (the left major fissure). In the right lung, an oblique fissure (the right minor fissure) and a horizontal fissure (the right major fissure) separate the lung into three lobes ...

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17Jan

Lung vessel segmentation

By Felicity / 17/01/2016 / RSIP Vision Learns / No Comments

Blood vessel segmentation of the lungs can help to identify important pulmonary diseases: it contributes to characterize nodules in the lungs, detect pulmonary emboli and evaluate the lungs vasculature in pulmonary hypertension. The patient’s individual values can be compared with normative value...

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6Dec

Vessel Segmentation Using Deep Learning

By Felicity / 06/12/2015 / RSIP Vision Learns / No Comments

Using Deep Neural Networks for Vessel Segmentation in Fundus Images    Vessel segmentation methods based on image processing techniques have long been utilized to delineate the vascular tree in clinical imaging. Many vessel segmentation algorithms exist and have been widely demonstrated in o...

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5Nov

Indoor Scene Structure Analysis

By Felicity / 05/11/2015 / RSIP Vision Learns / No Comments

Summary: Indoor Scene Structure Analysis for Single Image Depth Estimation   This is the first of our series of summaries of interesting texts on computer vision. Here, we explore Wei Zhuo, Mathieu Salzmann, Xuming He and Miaomiao Liu’s article on indoor scene structure analysis, publi...

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23Oct

Quantitative Coronary Analysis

By Felicity / 23/10/2015 / RSIP Vision Learns / No Comments

Quantitative Coronary Analysis Quantitative Coronary Analysis (QCA) refers to the set of methods used to measure the diameter of arteries. The set of tools and algorithms for QCA have been developed for the purpose of lesion and stenosis detection and analysis, and promote rational clinical decis...

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8Oct

Finding Cysts, Part Five: Final Detection

By Felicity / 08/10/2015 / RSIP Vision Learns / No Comments

Cyst Detection Using Convolutional Neural Networks Graph-search We have been working on automatically detecting the appearance of Cystoid Macular Edema (CME) in Optical Coherence Tomography (OCT) images. CME  is a buildup of fluids in the eye near the macula of the eye that can distort a person&#...

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27Aug

Automatically Detecting Macular Cysts

By Felicity / 27/08/2015 / Projects / No Comments

We created automatic detection software for macular cysts, developing a new detection method that is faster and more accurate than the industry standard.

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25Aug

Finding Cysts Part Three: Layer Segmentation

By Felicity / 25/08/2015 / RSIP Vision Learns / No Comments

Finding Cysts: Retinal Layer Segmentation   This is part three in our series of articles breaking down the automatic detection and quantification of Cystoid Macular Edema (CME). This is a buildup of fluids in the eye near the macula of the eye that can distort vision. We are pioneering a new...

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17Aug

Finding Cysts, Part Two: The Denoising Process

By Felicity / 17/08/2015 / RSIP Vision Learns / No Comments

Denoising   We are posting a series of articles breaking down the automatic detection and quantification of Cystoid Macular Edema(CME). This is a buildup of fluids in the eye near the macula of the eye that can distort vision. We are pioneering a new method for the detection of cysts. We sum...

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11Aug

Automatic Detection of Macular Cysts

By Felicity / 11/08/2015 / RSIP Vision Learns / No Comments

Hacking the Automatic Detection Process: Finding Eye Cysts with A.I.   Introduction Cystoid Macular Edema (CME) is a buildup of fluids in the eye near the macula of the eye that can distort a person’s vision. Optical coherence tomography (OCT) is one of the main methods by which physic...

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10Feb

Lung Segmentation Software

By Felicity / 10/02/2015 / / No Comments

RSIP Vision's advanced lung segmentation software segments the pulmonary vasculature & airways, allowing for more accurate & efficient diagnosis.

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3Feb

Coronary CT Angiography

By Felicity / 03/02/2015 / / No Comments

RSIP Vision created coronary CT angiography software which automatically tracks arteries, locating blockages without the need for cardiac catheterization.

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