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RSIP Vision Learns

RGB Cameras

ADAS sensors: 1. RGB cameras

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

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Multiplex

Multiplex IF Analysis

The use of deep learning for analysis of multiplex IF has allowed for a much greater accuracy level for the correct phenotypic classification of cells. When combined with RSIP Vision‘s advanced nuclear detection capability, it allows for the simultaneous analysis of multiple florescent markers on a cell by cell basis. This tool is well suited for multiple applications, especially when using multiple markers to characterize distinct cell populations such as in immune-oncology and IBD.

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CTCs - Circulating Tumor Cells

Circulating Tumor Cells (CTCs)

Circulating tumor cells (CTCs) are rare cancer cells that originate from a tumor and then travel through the patient’s blood or lymphatic system. CTCs have

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Pulmonary embolism

Detecting Pulmonary Embolism from CT Scan

Pulmonary embolism is a very dangerous condition, which happens when a clot of blood moves from somewhere (generally the legs) to the heart and then

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Coronary Arteries Segmentation

Coronary artery disease (CAD) or ischemic heart disease (IHD) has become one of the most common causes of morbidity and mortality worldwide. Patients who suffer

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Great Vessels Segmentation with Deep Learning

The great vessels conduct blood to and from the heart. These vessels include the aorta, superior and inferior vena cava, pulmonary arteries and pulmonary veins.

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Inner ear segmentation

Middle and Inner Ear Segmentation with Deep Learning

Ear pathologies are common in all age groups, and are one of the leading causes for visiting a doctor. In most cases, proper diagnosis can

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Larynx

Larynx Segmentation with Deep Learning

The larynx, also known as the voice box, is a triangular structure in charge of important functions including breathing, voice production and supplying protection to

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Liver and tumors

Liver Tumor Segmentation with Deep Learning

Liver tumors, also known as hepatic tumors, are quite common and some poses a grim prognosis. Therefore, early detection and diagnosis has become a main

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lymph nodes

Lymph Node Segmentation Module

Lymph nodes are routinely examined and assessed during physical examination of patients in a clinic or hospital setting. Enlarged lymph nodes can be indicators of

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Pharma - Dendritic cell

Detection and Segmentation of Dendritic Cells

Dendritic cells are a type of antigen-presenting cells and have an integral part in the normal functioning immune system, in that they help to initiate

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Lung Nodules Segmentation

Pulmonary nodules (AKA lung nodules) are small masses (up to 30mm) of tissue surrounded by pulmonary parenchyma. They are quite common finding on computerized tomography

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Lung fissures

Lung Fissures Segmentation

Lung fissures are double folds of visceral pleura that section the lungs to lobes. Both lungs have an oblique fissure separating the upper and lower

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Agricultural Yield Prediction on tablet

Agricultural yield prediction using Deep Learning

Technology breakthrough and availability of new datasets are changing forever the world of agriculture. Software solutions using Deep Learning makes it possible for farm managers to produce accurate yield estimates on a simple smartphone or tablet. This precision agriculture solution is made available by pioneering software from RSIP Vision.

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Navigation Systems for Surgery

Catheter Navigation System with RL

The typical catheter navigation system relies on fluoroscopy, which exposes patients to dangerous irradiation. To limit the dose throughout the operation, endoscopic cameras are used

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Industrial intrusion detection

Intrusion Detection with Deep Learning

Detecting physical and virtual intrusions is a key process in ensuring information and property security. Physical intrusion detection refers to all attempts at break-ins to

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Generative Adversarial Networks at work

GAN for non-rigid object tracking

Object identification and tracking remains a challenging task in computer vision, despite advances in hardware, computational, and algorithmic developments. Difficulties arise, in part, due to

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Visible lung cancer on CT scan of chest and abdomen

Chest CT Scan Analysis with Deep Learning

Chest radiography, with modalities such as X-Ray and CT, is now the common practice for the detection and analysis of the progression of lung tumors,

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object tracking in video frames

Object Tracking at High fps

Object tracking in video sequences is a classical challenge in computer vision, which finds applications in nearly all domains of the industry: from assembly line

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high resolution with CNN

High Resolution Image Reconstruction

Recovering a high-resolution (HR) image from a low resolution one is a classical problem in computer vision for which many algorithms have been developed to

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