Medical image analysis

Accurate. Automatic. Advanced. Custom AI medical image analysis software solutions can provide you with data embedded in patient scans.

Graylight Imaging creates AI technologies for healthcare. We are experienced in developing AI medical solutions and AI algorithms tailored to specific needs.

LET'S TALK

LEARN MORE ABOUT OUR SOLUTIONS FOR AI MEDICAL IMAGING

AI medical imaging

Creating AI algorithms using both deep learning and machine learning techniques

Development of comprehensive AI-based software for medical image segmentation and analysis

Custom AI radiology algorithms development

We design AI-boosted algorithms for medical images and healthcare data analysis.

Implementable algorithms

Using our experience in developing solutions for medical image processing, medical image analysis and medical data analysis, we create algorithms that can be easily implemented in medical systems. Our approach is based on the specific requirements and business needs of our customers.

Pipelines and technological components

In recent years, we have created development pipelines for healthcare algorithms. By incorporating predefined workflows and easily accessible technology components, we can accelerate the development of algorithms and, as a result, facilitate our customers’ business goals.

Benefits and opportunities from custom solutions built for your needs

Different types of examination

Innovative algorithms developed by us are able to segment and analyze organs, their internal structures and lesions from MRI, CT, PET and Angio-CT.

Deep and machine learning

The high level of expertise of our experts, software engineers and scientists enables building of the state-of-the-art algorithms based on classical methods such as machine learning, but deep learning, and techniques.

Organs contouring

Algorithms automatically identify and contour internal organs in medical images. This eliminates the necessity for manual contouring.

Tumors segmentation

Based on your requirements, we can design customized automated and semi-automated algorithms to analyze internal organs with lesions.

Medical image analysis in cardiology

You can discover our artificial intelligence algorithms for precise coronary artery segmentation, cardiovascular imaging and the acquisition of repeatable medical data from medical images.

Automatic segmentation

Advanced algorithms automate the manual segmentation process. By reducing manual segmentation, they save the radiologist’s time.

Automatic measurement

Algorithms for medical image analysis developed by our experts are capable of performing automatic measurements of organs and lesions. Automatic RANO and RECIST measurements are just examples of their capabilities.

Accurate algorithms

Our models segment medical images accurately produce the best analytical outcomes.

AI image segmentation

Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.

Selected works from the medical image analysis field

Brain lesions

Automated tumor identification with subregions from MRI: oedemas and necroses as well as enhancing tumor

Visualization of the results

Calculation of the volume of each subregion

Top ranked in RSNA-ASNR-MICCAI 2022 Brain Tumor Segmentation (BraTS) Challenge

Vascular diseases

Identifying vessels from CT images in 2D

Build 3D model from 2D slices

Blending voxels for smoothing and resolution enhancement

3D high contrast visualization with 360° panning

Fluid flow simulation

We compute flow in reconstructed vessels for the estimation of plaque significance

We can simulate patient specific physiological conditions and perform simulation

3D modelling toolkit

Generating 3D models from multiple scans

3D Mesh modeling and analysis

Development of a dedicated 3D viewer

Proven experience in the medical image analysis area

Learn more in the paper: Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA

Learn more in the paper: Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients

Medical imaging software development

From an idea to a complete solution. If you need to build up a system for medical imaging to meet your business purpose, we have the competence and experience to help you. Whatever you need in the medical imaging software development field, we have the experience and expertise to carry it out for you.