Ground-truth preparation in medical project
Maximize the potential of your AI-based medical projects with accurate and reliable ground-truth data preparation.
We’ve created a process of data preparation for medical imaging projects in which we use machine learning algorithms. Unquestionably, proper, objective data used to train the model will ensure the expected results.
Ground-truth preparation in medical project for models training
Pipeline for GT preparation
We have organized the whole process: from creating teams of experts, through both data annotation and its accuracy verification. Up to be sure the appropriate result is reached.
High degree of objectivity
Pipeline for ground-truth preparation in medical project ensures high objectivity. Moreover, it eliminates the risk of incorrect assessment resulting from a doctor personal experience.
Teams of experienced radiologists
The annotation team includes the most experienced doctors. That ensures the analysis of particular study is correct. Additionally, this process reduce the interobserver variability.
The pipeline of ground-truth preparation in medical project
Gound-truth preparation in medical project: ensure objectivity
The entire workflow, also the correctness of the annotations and the data annotation, was organized by Graylight Imaging professionals.
We engage experienced radiologists with the expertise necessary to analyze a given study properly to prepare the data.
Our process ensures a high level of objectivity in analyzing a study. Moreover, it eliminates the risk of incorrect assessment based on a doctor’s personal experience.
The studies used for model validation and its annotations are verified in three stages. This process guarantees accuracy and reliability.
Learn more about our experience
Let’s work on your challenges together!
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Let’s work on your challenges together!
Contact us: