Automated diagnostic reading of HIV
Human Immunodeficiency Virus is a double-strand RNA retrovirus, which translates into a DNA by reverse transcription in the cell cytoplasm and later integrated into the
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Lung Segmentation Software
RSIP Vision has built a lower respiratory tract segmentation software using advanced image processing algorithms. This region includes both lungs along with their pulmonary vasculature. This lung segmentation software takes advantage of the structure of vascular and capillary tree in the area as an exploratory tool for lungs segmentation, enabling both diagnosis and planning of invasive interventions.
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Retinal inner layers segmentation
OCT is the only method that can perform noninvasive imaging with non-ionizing radiation and offering relatively good resolution. That is why it has become a
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
Diabetic retinopathy screening and microaneurysm detection
Diabetic Retinopathy (DR) is a leading cause of blindness, especially among adults and even more among the elderly segments of the population. It is associated
Retinal images taken with mobile cameras
Portable cameras able to help ophthalmologists have been a desired solution for a long time. Among the reasons for the need of an additional device
Geographic Atrophy Segmentation Using SD-OCT
In a previous article, we talked about Geographic Atrophy segmentation in 2D images. This article focuses on how OCT images shed light on the development
Geographic Atrophy (GA)
Geographic Atrophy (generally called GA) is a case of advanced Dry AMD (Age-related Macular Degeneration) which might lead to vision loss. As a consequence of
People counting with infrared camera
The FLIR Lepton is a low-resolution LongWave InfraRed (LWIR) camera. The purpose of this article is to explain the main challenges presented by the use
Lanes Detection System
As a potentially life-saving solution, even a simple traffic lanes detection system requires the highest accuracy. For that reason, RSIP Vision‘s deep learning experts have developed an ADAS system which solves this challenge. Our specialized team is fully proficient in both image processing techniques and the autonomous vehicles environment. The use of perspective and the calculation of vanishing points are part of the solution that we develop and provide.
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Breakthroughs in biomedical imaging
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
Type 2 interval fuzzy sets in pattern classification
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
Object feature tracking in natural scenes
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
Image Categorization and Retrieval with Fisher Vectors
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
Image Features for Classification
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
Segmentation and tracking of kidney stones
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
Instrument tracking for robotic aided surgery
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
Planning of screw insertion trajectory
Robotic assisted minimally invasive surgery has changed the face of surgery. The use of robotic aids in surgery can be traced back to the mid-1980s,
Minimally Invasive Robotic Surgery
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?
Anatomical surface reconstruction with sparse set of points
Advance navigation techniques in orthopedic surgery allow to construct 3D models of patients’ anatomical parts by matching a surface to an acquired set of data points. As an alternative to costly imaging procedures, ultrasound or fluoroscopic scan can be performed with much reduced costs and hazards. A set of surface points marked by the technician or physician forms then an initial sparse set for anatomical surface reconstruction. Here we show how RSIP Vision’s engineers overcome the challenge of using a sparse set of points to accurately reconstruct a complex 3d surface.
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