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Ocutri

ocutri

Offshore software development and R&D for non-standard and science intensive tasks.

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Healthcare software development services

VR/AR, Machine Learning, Computer Vision and Big Data Analytics for Healthcare.


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The need for better medical care is growing. At the same time we observe rapid development of computer science and information technology: machine learning (ML) and artificial intelligence (AI), computer vision, data analytics and big data technologies, augmented reality (AR) and virtual reality (VR).

Application of methods for digital processing of images and signals has become widespread in medicine too. This progress is based on two aspects.

First is the rapid development of medical diagnostic equipment: computed tomography (CT), single-photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), diverse types of ultrasound and x-ray methods.

Second is the rapid development of computer technology and mathematical methods of image analysis, machine learning and computer vision.

One of the largest markets in augmented reality and virtual reality is healthcare. It is $3.5 billion with 3.4 million users шт 2016 (Goldman Sachs) and it is growing fast. The hottest topic is AR in patient monitoring.

In recent years, the explosive development of deep learning methods, data analysis methods and data processing systems, for example, big data - all this has led to the fact that the solution of biomedical tasks for which it was previously impossible now can be automated.

Ocutri, a company specializing in creating science-intensive systems and technologies, as well as research and R&D, offers medical organizations creation of systems for processing single- and multichannel signals and medical images (2D, 3D, video streams), as well as augmented reality and virtual reality systems.

We will develop a custom solution, taking into account the operational and medical tasks of your organization.

About us.

What are biomedical signals and images?


We create systems for processing single-, multichannel signals, and medical images: two dimensional (2D), three dimensional (3D), and video stream.

Biomedical signals


The group of biomedical signals includes:

  • – electroencephalography (EEG),
  • – electrocardiography (ECG),
  • – electromyography (EMG),
  • – speech,
  • – temperature,
  • – pressure
  • – and so on.

Using this data, automatic analysis systems can predict in advance the onset of epileptic seizures, fibrillation of the heart, detect hidden pathologies. Based on several data sources, it is possible to automatically evaluate the psychoemotional state of a person with high accuracy.





Biomedical images


Imaging methods are:

  • – computed tomography (CT),
  • – magnetic resonance imaging (MRI),
  • – single-photon emission computed tomography (SPECT),
  • – radiography,
  • – images of the optical or infrared spectrum obtained with conventional photo and video cameras.

All the opportunities of using systems for automatic analysis of such data can be hardly enumerated. Some of them are: diagnosis and detection of lesions of internal and external organs, classification and measurement of objects on histological images or, for example, automatic segmentation and classification of damaged teeth on X-ray images.

What is Virtual Reality and Augmented Reality?


Virtual Reality and Augmented Reality provide users with an enhanced experience. Generally by using a display, like:
  • – Mobile devices,
  • – Head Mounted Displays (HMDs),
  • – Spatial Augmented Reality (SAR) systems – digital projectors.
VR and AR technologies are popular among both consumers and businesses. They use similar technology. However, VR and AR have different use cases and markets.

Virtual Reality


VR immerses a user in an imagined or replicated world (like video games or medical simulations) or simulates presence in a real world. VR allows to interact with it by simulating his physical presence while the 3D environment he sees is virtual.

Examples of hardware in VR: Oculus, Sony PlayStation VR, HTC Vive, Samsung Gear VR.

Additional devices like suits, gloves and special cameras provide tracking of hands or full body to allow deeper interaction with the virtual world.

They also allow to create team based VR attractions adding physical interaction with real world objects. Contact us to learn how to do that.

Augmented Reality


AR technology overlays computer-generated information onto a live view of a real environment augmenting the user’s real world with virtual content. It enhances the view and allows the user to manipulate the information.

Examples of hardware in AR: Microsoft HoloLens, Google Glass, Magic Leap, Sony SmartEyeglass.

Advanced AR requires creating systems capable of understanding the real world around you: the space and the objects, what are they and how you can interact.

The strong side of our expertise at Ocutri is that we are capable of building such advanced AR software and middleware. Let`s get in touch!


How we can help you make medical diagnostics as effective as possible


Altogether, the processing of medical images and biomedical signals using computer vision techniques and deep machine learning can be applied to:
  • – automatic detection of events;
  • – objects detection and measurement of their parameters;
  • – predictions of events: based on the patient's current signal or the accumulated data set for different patients;
  • – detection of anomalies in tissues or organ functions, detection of pathologies and onset of diseases;
  • – classification of samples;
  • – data rectification and enhancement;
  • – delineation of borders and objects not visible to the naked eye;
  • – search for the object by its example;
  • – revealing and research of the characteristics of objects and signals;
  • – emotion analysis, detection of psycho-emotional state (affective computing).
Take a look at our survey on state-of-the-art in medical image computing and biomedical signal analysis. How we use machine learning and data analysis to reduce risks and improve efficiency of your business.

The Augmented Reality and Virtual Reality applications in healthcare are:
  • – Training of health specialists;
  • – Phobias treatment;
  • – Medical procedures;
  • – Physical therapies;
  • – Patient monitoring.
See also how we can we can help you in AR & VR development specifically.


You need to work with us in case you want to:


  • 1. Speed up product time-to-market.
    Stay ahead of your competitors while they are looking for scarce skillset they require.

  • 2. Save up to 70% of hiring and maintaining the team yourself.
    It’s a great way to save money by avoiding the costs associated with hiring employees, providing them a workspace and paying them benefits. The higher position, the more you save.

  • 3. Work within a similar cultural context.
    We are nearshore. We have representation in UK and EU. We work from Russia.


We offer technological support for your healthcare projects from the very idea to the final product and after. Want to discuss a POC? Let`s get in touch:


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info@ocutri.com
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