Medical algorithms

Develop medical algorithms with us. Save time and scale your business.

Our team includes following experts: scientists, business analysts, bioengineers, annotators, software engineers, and also machine learning/deep learning specialists. Moreover, with our competencies, we successfully undertake projects of diverse complexities, leveraging various types of medical data.

Medical algorithms development in detail

Icon depicted symbol of medical algorithms for the brain. We can see here the brain with neural networks in gray and magenta colour.
An icon showing an image of a patient during a CT scan. Images from the CT scanner will be analyzed by medical algorithms. The image is in gray colors with a square in magenta.

Machine Learning

Deep Learning

Ground-truth preparation

Graylight Imaging experts worked out a Machine Learning pipeline to ensure efficient and fast development of AI algorithms – both machine and Deep Learning.

We are experienced in applying deep learning techniques to various tasks, including medical imaging analysis, clinical decision support, and also drug discovery.

Our specialists developed a ground-truth preparation process. Additionally, we can support you with an annotating team as well as cohort data optimisation.

Performance

Full pipeline for ML processing

Expertise in diverse data

We carefully listen to our clients and jointly determine the method for measuring algorithm performance, aiming for generalization and bias-free models.

Benefit from our complete pipeline for Machine Learning data processing, enabling both rapid and efficient creation of customized solutions for our partners.

Although our primary area of interest is medical image analysis, in our success stories we have projects based on other data as well as vision analysis.

Medical algorithms development in detail

Icon depicted symbol of medical algorithms for the brain. We can see here the brain with neural networks in gray and magenta colour.

Machine Learning

Graylight Imaging experts worked out a Machine Learning pipeline to ensure efficient and fast development of AI algorithms – both machine and Deep Learning.

Deep Learning

We are experienced in applying deep learning techniques to various tasks, including medical imaging analysis, clinical decision support, and also drug discovery.

An icon showing an image of a patient during a CT scan. Images from the CT scanner will be analyzed by medical algorithms. The image is in gray colors with a square in magenta.

Ground-truth preparation

Our specialists developed a ground-truth preparation process. Additionally, we can support you with an annotating team as well as cohort data optimisation.

Performance

We carefully listen to our clients and jointly determine the method for measuring algorithm performance, aiming for generalization and bias-free models.

Full pipeline for ML processing

Benefit from our complete pipeline for Machine Learning data processing, enabling both rapid and efficient creation of customized solutions for our partners.

Expertise in diverse data

Although our primary area of interest is medical image analysis, in our success stories we have projects based on other data as well as vision analysis.

Our medical algorithms development pipelines get your project covered

Machine Learning medical project lifecycle

1

Medical images

2

Data storage

3

Manual annotations

4

Dataset configuration

5

Model preparation

6

Models repository

7

Inference results

How we work on medical algorithm development

Shape. Firstly, we will make sure we fully understand your requirements. Secondly, it will be determined what the collaboration will look like. Our experts will also identify the key elements of the solution and deliverables needed for certification.

Integrate and verify. Once the various elements of the solution have been made ready and tested in isolation, they are assembled and then comprehensive verification takes place through formal tests.

Create. In the first place, we consider several network types to establish algorithms. Data will be used to train the model, at first. Then, we’ll test and improve this one using more data.

Implement. Afterward implementation, algorithms can still be tested and refined based on actual data. Moreover, if needed, your model can be refined in the future.

Let’s work on your challenges together!

Let’s work on your challenges together!

Contact us:

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purbanski@graylight-imaging.com
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