21Mar

Sinus segmentation with deep learning

By R. A. / 21/03/2019 / RSIP Vision Learns / No Comments

The paranasal sinuses are air-filled spaces surrounding the nasal cavity. The sinuses include the maxillary (purple in the image below), frontal (red), ethmoidal (blue) and sphenoidal (green) sinuses. Due to being air filled, the sinuses make the skull lighter and help with filtration of inhaled ...

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20Mar

Brain Hemorrhage Segmentation with Deep Learning

By R. A. / 20/03/2019 / RSIP Vision Learns / No Comments

Intracranial hemorrhage is defined as bleeding within the cranium. Bleeding can occur within the brain parenchyma itself, giving way to what is called intra-axial bleed or intracerebral hemorrhage. On the other hand, bleeding outside the brain tissue is referred to as extra-axial bleed. Subtypes ...

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18Mar

Dental Segmentation with Deep Learning

By R. A. / 18/03/2019 / RSIP Vision Learns / No Comments

Dental problems affect people of all ages and ethnic groups, and are common worldwide. With many patients suffering from tooth decay, orthodontic issues and even oral cancer, the need of oral surgeries and other treatments increases constantly. Recent advancements in technology allow safer and mo...

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10Mar

Lung vasculature segmentation

By R. A. / 10/03/2019 / RSIP Vision Learns / No Comments

Lungs vasculature has a major part in blood oxygenation. The complicated branches of arteries and veins, accompanied by the intricate bronchial tree are in charge of gas exchange, where inhaled air, containing oxygen, enters the lungs and through the bronchial tree it reaches the alveoli. There, ...

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7Mar

Lung Tumor Segmentation

By R. A. / 07/03/2019 / RSIP Vision Learns / No Comments

Lung cancer is the most common cancer related mortality cause among men, and second in women worldwide. Primary lung cancer is usually divided into two groups: Non-Small Cell Lung Cancer (NSCLC), and Small Cell Lung Cancer (SCLC), the former being the most common. In cases that are diagnosed late...

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10Jan

Tissue Analysis with AI

By R. A. / 10/01/2019 / RSIP Vision Learns / No Comments

RSIP Vision is introducing Deep Learning in the biopsy analysis procedure. Here is how the benefits of tissue analysis with AI have become available. Biopsy is the key examination used to determine the presence of most malignant tumors. Notwithstanding its importance and the need for millions of ...

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10Jan

Detection and Tracking of Tumors

By R. A. / 10/01/2019 / RSIP Vision Learns / No Comments

RSIP Vision’s automated detection and tracking of tumors answers one of the most frequent needs in the pharma industry – assessment of patient response to a new drug. This very strong tool saves precious time in the clinical stage when the automated detection and tracking can supply the most accu...

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9Jan

Automated RECIST Measurement

By R. A. / 09/01/2019 / RSIP Vision Learns / No Comments

RSIP Vision has develop an efficient tool for clinical trials in the pharma industry – the automated RECIST measurement. The gold standard in measuring the evolution of solid tumors, along the treatment with a tested drug, is the RECIST score (Response Evaluation Criteria in Solid Tumors), ...

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8Jan

Detection and Segmentation of Dendritic Cells

By R. A. / 08/01/2019 / RSIP Vision Learns / No Comments

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 primary immune response. Dendritic cells are typically present in tissues that come in contact with the external environment. That includes the s...

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6Jan

Lung Nodules Segmentation

By R. A. / 06/01/2019 / RSIP Vision Learns / No Comments

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 (CT) scans, and although most lung nodules are benign, some are cancerous. Some of the characteristics of the nodules may indic...

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3Jan

Lung Fissures Segmentation

By R. A. / 03/01/2019 / RSIP Vision Learns / No Comments

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 lobes, and the right lung has a horizontal fissure separating the right middle lobe from the upper lobe. Identifying these borders is an important p...

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30Dec

Agricultural yield prediction using Deep Learning

By R. A. / 30/12/2018 / RSIP Vision Learns / No Comments

Artificial Intelligence software performing agricultural yield prediction in the field of smart agriculture. Contact our experts to learn how to apply this new technology to your fields. Crop yield prediction in precision agriculture refers to the estimation of seasonal yield before harvesting, b...

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26Dec

Pharma

By R. A. / 26/12/2018 / Application Fields / No Comments

Artificial intelligence and deep learning solutions for Pharma

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15Nov

Intrusion Detection with Deep Learning

By R. A. / 15/11/2018 / RSIP Vision Learns / No Comments

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 a building, warehouse, or other perimeters by an unauthorized person, where access is granted to only limited personnel. Ba...

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16Oct

Chest CT Scan Analysis with Deep Learning

By R. A. / 16/10/2018 / RSIP Vision Learns / No Comments

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, tuberculosis and other pulmonary abnormalities. To date, most analysis are done by expert radiographers, who analyze resulting scans and estimate p...

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15Oct

Object Tracking at High fps

By R. A. / 15/10/2018 / RSIP Vision Learns / No Comments

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 automation, security, traffic control, automatic driving assistance systems and agriculture. Presently state of the art algorithms per...

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10Oct

High Resolution Image Reconstruction

By R. A. / 10/10/2018 / RSIP Vision Learns / No Comments

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 date. Most notably, methodologies using sparse coding: these techniques have achieved current state-of-the-art results, but suffer from long...

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20Aug

Automated Defect Inspection Using Deep Learning

By R. A. / 20/08/2018 / RSIP Vision Learns / No Comments

Defect detection during production is a necessary step to ensure product quality. Although manual human inspections are still being employed, automated visual inspection has practically replaced manual labor in almost all major production lines and is ubiquitous in mechanical parts manufacturing,...

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14Aug

Deep Learning in Cardiology

By R. A. / 14/08/2018 / RSIP Vision Learns / No Comments

1.1 Segmentation tasks [10] suggest a new fully convolutional network architecture for the task of cardiovascular MRI segmentation. The architecture is based on the idea of network blocks in which each layer is densely connected with auxiliary side paths (skip connections) to all the following la...

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13Aug

Deep Learning in Pulmonology

By R. A. / 13/08/2018 / RSIP Vision Learns / No Comments

Deep learning has been successfully applied in various applications in pulmonary imaging, including CT registration, airway mapping, real time catheter navigation, and pulmonary nodule detection. Some of these applications are still in ongoing development, and here we review few of the most recen...

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