Stabilization in fluorescein angiography

By R. A. / 29/09/2016 / RSIP Vision Learns / No Comments

One of the most common tests in ophthalmology is fluorescein angiography: fluorescein is injected in the blood and it moves immediately through the blood vessels to the back of the eye. Some drops might also be applied in order to make the pupil dilate. A video clip taken shortly after that, show...

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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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Type 2 interval fuzzy sets in pattern classification

By R. A. / 07/09/2016 / RSIP Vision Learns / No Comments

In search for a pattern in an image, a video or a signal, one has to consider several sources of bias, noise and uncertainties. Such uncertainties are the result of acquisition of natural signals such as outdoors images in non-sterile and poorly lit conditions, possibly containing smear, blurs, a...

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Object feature tracking in natural scenes

By R. A. / 28/08/2016 / RSIP Vision Learns / No Comments

Augmented reality (AR), the superposition of virtual graphical models on screen, has been steadily progressing and finds its application in diverse domain from recreational to clinical. Traditionally, a virtual 3D model is placed in a scene acquired by camera based on several landmark points appe...

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Image Categorization and Retrieval with Fisher Vectors

By R. A. / 22/08/2016 / RSIP Vision Learns / No Comments

Testing a set of images for similarity has long been a task of image processing computer vision and machine learning. The plethora of tools and techniques suggested to treat such task stems from the ever expanding definition of similarity. For some applications, similarity in color might suffice;...

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Image Features for Classification

By R. A. / 10/08/2016 / RSIP Vision Learns / No Comments

Classification problems in image and signal analysis require, on the algorithmic side, to take into account complex information embedded in the data. Images might contain many thousands of pixel values in several color channels; their correlation and relationship characterizes the class and enabl...

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Segmentation and tracking of kidney stones

By R. A. / 07/08/2016 / RSIP Vision Learns / No Comments

An affected anatomical region can be treated in a selective and non-invasive manner by localized and contact-free methods such as high-intensity focused ultrasound. Treatment by selective use of focused beams offers higher patients benefit than non-selective therapy since they spare the healthy t...

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Instrument tracking for robotic aided surgery

By R. A. / 01/08/2016 / RSIP Vision Learns / No Comments

The success of complex fine-scale surgery depends heavily on surgeons’ agility, state of fatigue and their freedom to manipulate miniature instruments in the target organ. Internal organs can be reached by an insertion of flexible instruments through several small incisions in minimally invasive ...

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Planning of screw insertion trajectory

By R. A. / 27/07/2016 / RSIP Vision Learns / No Comments

Robotic assisted minimally invasive surgery has changed the face of surgery. The use of robotic aid in surgery can be traced back to the mid-1980s, when robotic systems were used to create precise incisions, cuts and drills. From the late 1990s onwards, robotic surgery has taken a leap forward wi...

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Minimally Invasive Robotic Surgery

By R. A. / 26/07/2016 / RSIP Vision Learns / No Comments

Minimally Invasive Surgery (MIS) has emerged as a paradigm shift in modern surgical practices dating back to the early 1990s. What is Minimally Invasive Surgery? It is a type of intervention done by performing a series of small skin incisions through which instruments are inserted and guided towa...

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Anatomical surface reconstruction with sparse set of points

By R. A. / 20/07/2016 / RSIP Vision Learns / No Comments

Advance navigation techniques in orthopedic surgery allow physicians to construct 3D models of patients’ anatomical parts. Such models are especially useful for surgery planning and guidance during operation. Three-dimensional model overlay on images acquired from various modalities facilitated i...

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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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Gastrointestinal lesion detection with machine learning

By R. A. / 18/07/2016 / RSIP Vision Learns / No Comments

Detection of cysts, polyps, or solid tumors is an important first step in diagnosis and clinical decision making. Cancerous gastric lesions and solid tumors now rank as the number 5 for most common cancers worldwide. Endoscopic examination is performed to disclose the lesion’s biophysical p...

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Tree Detection and Related Applications in Forestry

By R. A. / 11/07/2016 / RSIP Vision Learns / No Comments

Using aerial images taken by drone, plane or satellite, RSIP Vision can create forestry image processing and analysis software to efficiently determine: Trees detection Automatic tree detection is the initial phase in many applications. The system is marking the tree center and assign to it the g...

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Forestry Row Detection and Related Applications

By R. A. / 10/07/2016 / RSIP Vision Learns / No Comments

RSIP Vision creates forestry image processing and analysis software by using aerial images taken by drone, plane or satellite. Our algorithms enable to efficiently determine: Planted rows detection Planted row detection is performed automatically for straight and curved rows. The detected rows is...

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Bounded Objects Detection and Related Applications in Forestry

By R. A. / 10/07/2016 / RSIP Vision Learns / No Comments

Using aerial images taken by drone, plane or satellite, RSIP Vision develops software for image processing and analysis in forestry to efficiently determine: Forest border delineation Automatic detection of the forest border and its sub section borders. This capability is used to update geographi...

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Brain Lesion Detection in MRI Images

By R. A. / 05/06/2016 / RSIP Vision Learns / No Comments

Lesions in the central nervous system (CNS) are aggressive and frequently fatal. Individuals diagnosed with CNS tumors often suffer from disabilities caused by dysfunctional neurological state and deterioration in systemic activity, leading to relative short expected life-span post diagnosis. Les...

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Automatic Lesion Detection in Fundus Images

By R. A. / 29/05/2016 / RSIP Vision Learns / No Comments

Diabetic Retinopathy (DR) is an eye disease resulting from long-term diabetic condition. About 80% of long-term diabetic patients suffer from some degree of DR, which accounts for more than 10% of cases of blindness in the USA alone. Early detection of DR and monitoring its progression can spare ...

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3D Reconstruction for Bone Alignment

By R. A. / 19/05/2016 / RSIP Vision Learns / No Comments

Navigation systems in orthopedic procedures are now an integral part of the preoperative and intra-operative process. Advances in vision-based medical technologies, such as X-ray and CT, have completely transformed orthopedic surgery planning and operation procedures. Newly introduced technologie...

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Bone segmentation in orthopedic surgery

By R. A. / 11/05/2016 / RSIP Vision Learns / No Comments

Orthopedic surgeries are one of the most common surgeries in clinical practice. According to recent surveys, more than 300,000 hip replacement and 700,000 knee replacements are performed annually, with frequent treatment of other joints, e.g. shoulder and ankles. With figures on the rise, the bur...

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