Analysis of endoscopic image with AI
Incorporate a custom AI solution into your project that is tailored to your needs. Empower your endoscopic image analysis.
We will develop a custom solution that will enable you to analyze endoscopic images automatically and accurately. We can create an algorithm that will analyze every frame of endoscopic video data.
Our work: analysis of retrospective studies in clinical trials
We were part of a project dedicated to the analysis of retrospective endoscopy studies data gathered in clinical trials.
During the project, we developed an algorithm that evaluated endoscopic. It achieved desired level of performance and enabled more effective assessment of disease severity as well as patient response to the treatment. On the technical level, the algorithm transformed video data into images. That made it possible to provide the analysis of every frame separately. The algorithm achieved a great generalisation to the unseen target data and variable disease appearances.
Process of analyzing endoscopic images developed by our experts
To create a dedicated algorithm or software for a client, we follow a specific process. We begin by acquiring video data and detecting lesions on the endoscopic image. The image is then divided into sections, which are further divided into frames for detailed analysis. The results of the analysis are the final output of the process.
Software development for endoscopic image analysis in the cloud
Bespoke software or algorithms can be developed either on-site or in the cloud. If you’re interested in the cloud solution, read our blog post Medical video data on cloud infrastructures.
Check our expertise: PoC for AI tool analysing endoscopic images
Do you need to verify your thesis or test an idea? We have expertise in creating Proof of Concept for analyzing endoscopic images project.
The inquiry from the client was related to the possibility of utilizing an AI tool for real-time analysis of endoscopic images.
The project’s primary aim was to improve the accuracy of diagnoses, enabling doctors to make more dependable assessments. The proof-of-concept initiative was specifically focused on detecting tumors, differentiating between benign and malignant ones, and classifying them accordingly.
We employed our vision analysis technology and delivered the outcomes within three weeks.
Let’s talk
Contact us if you have any questions. We would be happy to talk about your ideas and challenges. We believe we can support you in achieving your goals.
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