5Feb

Deep Learning for Cardiac Ultrasound (Echocardiography)

By R. A. / 05/02/2020 / RSIP Vision Learns / No Comments

Cardiovascular disease at a glance Cardiovascular disease is a leading cause of death, disability and health care expenditure in the United States. Cardiovascular disease (CVD) accounted for 840,678 – or 1 out of 3 – deaths in the US in 2016 Nearly 30 million American adults are curre...

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4Feb

AI in Cardiac MRI Segmentation

By R. A. / 04/02/2020 / RSIP Vision Learns / No Comments

Cardiac magnetic resonance (CMR) imaging plays a critical role in the assessment and management of patients with coronary artery disease (CAD), a leading cause of death worldwide. However, postprocessing is time-consuming and prone to inter and intraobserver variability. Deep learning neural netw...

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4Feb

AI in cardiac CT angiography

By R. A. / 04/02/2020 / RSIP Vision Learns / No Comments

Coronary computed tomography angiography (CCTA) is an efficient and non-invasive imaging modality with widespread clinical implementation in the identification of coronary artery disease (CAD). With rapid 3D visualization of coronary arteries and heart, including visualization of blood flow in ar...

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30Jan

Endoscopic Procedures using Intravenous OCT

By R. A. / 30/01/2020 / RSIP Vision Learns / No Comments

While ultrasound imaging cannot be replaced, adding Intravenous OCT to endoscopy procedures significantly improves image resolution and increases the ability to detect plaque and segment it. Intravenous Optical Coherence Tomography (IVOCT) is a catheter-based medical procedure which uses a near i...

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30Jan

Using AI technologies to Analyse Intravenous Ultrasound Images

By R. A. / 30/01/2020 / RSIP Vision Learns / No Comments

While the low-resolution IVUS present its challenges, by adding AI to the we can easily overcome this issue, and improve the analysis of blood vessels interior parts for a better clinical outcome. Background Most endoscopic procedures rely on conventional 2D image sensors for navigation, diagnosi...

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28Jan

Segmentation in Orthopedics with Deep Learning

By R. A. / 28/01/2020 / RSIP Vision Learns / No Comments

Segmentation is highly important both for examination and planning of knee replacement, hip replacement, shoulder surgery, lesion detection, osteotomy and many other orthopedic procedures. RSIP Vision’s CTO Ilya Kovler and Senior Algorithm Developer Arie Rond explain how to improve the segm...

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20Jan

Surgical Instrument Segmentation

By R. A. / 20/01/2020 / RSIP Vision Learns / No Comments

Using computer vision to identify tools being employed at different stages of a procedure is not only another step toward robotic surgery, it’s a simple, yet very useful tool to streamline and safeguard the surgical process. Surgical instrument (tool) segmentation and classification is a computer...

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12Jan

AI based Surgical Workflow Analysis, another big step towards the future of robotic surgery

By R. A. / 12/01/2020 / RSIP Vision Learns / No Comments

AI and computer vision technologies can significantly improve the quality of surgical procedures by providing tools that help analyze and monitor certain parts of the surgical workflow. Surgical Workflow Analysis and Surgical Instrument Detection are two good examples of applications that lay the...

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1Jan

Challenges and AI Solutions for Endoscopy

By R. A. / 01/01/2020 / RSIP Vision Learns / No Comments

As endoscopic and microscopic image processing, and surgical vision are evolving as necessary tools for computer assisted interventions (CAI), researchers have recognized the need for common datasets for consistent evaluation and benchmarking of algorithms against each other. The Endoscope Vision...

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25Sep

Sensors for ADAS Technology: 3. RADARs

By R. A. / 25/09/2019 / RSIP Vision Learns / No Comments

This article is the third part in a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles. RGB cameras, LiDARs and Radars are the three main sensors used by the automotive industry to maintain the perception for autonomous vehicles at va...

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25Sep

ADAS sensors: 2. LiDARs

By R. A. / 25/09/2019 / RSIP Vision Learns / No Comments

This article is the second part in a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles. RGB cameras, LiDARs and Radars are the three main sensors used by the automotive industry to maintain the perception for autonomous vehicles at v...

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25Sep

ADAS sensors: 1. RGB cameras

By R. A. / 25/09/2019 / RSIP Vision Learns / No Comments

This article is the first part in a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles. RGB cameras, LiDARs and Radars are the three main sensors used by the automotive industry to maintain the perception for autonomous vehicles at va...

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24Sep

Multiplex IF Analysis

By R. A. / 24/09/2019 / RSIP Vision Learns / No Comments

Multiplex IF analysis allows for real-time relational data between cells in tissue. This is an advantage over the gold standard brightfield IHC, which looks at a single marker at a time. When using brightfield IHC for multiple markers, sequential sections of the tissue are needed which does not a...

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12Sep

Circulating Tumor Cells (CTCs)

By R. A. / 12/09/2019 / RSIP Vision Learns / No Comments

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 a high risk of metastasizing elsewhere in the body, which can be very dangerous. It is well-known that finding and analyzing these rare cells...

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22Aug

Detecting Pulmonary Embolism from CT Scan

By R. A. / 22/08/2019 / RSIP Vision Learns / No Comments

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 finds its way to the lungs. As blood vessels become finer and finer, at some point the clot gets stuck there and blocks the supply of blood, with al...

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17Jul

Coronary Arteries Segmentation

By R. A. / 17/07/2019 / RSIP Vision Learns / No Comments

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 from CAD, usually have accumulation of deposits such as lipids and inflammatory cells within the coronary arteries, potentially causing ...

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8Jul

Great Vessels Segmentation with Deep Learning

By R. A. / 08/07/2019 / RSIP Vision Learns / No Comments

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. Since the great vessels are an integral part of systemic and pulmonary circulation, vascular pathologies involving said vessels might be...

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3Jul

Middle and Inner Ear Segmentation with Deep Learning

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

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 be achieved via clinical examination. However, in recurrent or complicated cases imaging of the ear is indicated and can help with treatment choice.   Th...

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2Jul

Larynx Segmentation with Deep Learning

By R. A. / 02/07/2019 / RSIP Vision Learns / No Comments

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 the trachea from aspirations. It consists mostly of cartilages- epiglottic, thyroid, cricoid, arytenoid, corniculate and cuneiform....

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6Jun

Liver Tumor Segmentation with Deep Learning

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

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 goal for lowering mortality and morbidity. Benign tumors include hemangiomas, adenomas, focal nodular hyperplasia (FNH). Although malignant tumo...

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