We are ready to streamline manual image analysis with automation and added precision. Custom ML-driven image analysis software by Itransition offers a range of benefits for practitioners, researchers, and decision-makers:
Who we serve
How our solutions help
Facilitate early and non-invasive diagnosis Prevent collateral damage in surgeries Avoid repetitive imaging
Limit patient exposure Level up precision medicine Lower imaging cost
Who we serve
How our solutions help
Streamline drug and treatment efficiency testing methods Check imaging biomarkers in trials
Foster informed decision-making
We create full-fledged computer vision solutions for healthcare-associated purposes that rely on deep learning to build highly capable neural networks. Well-trained and able to learn as it operates, medical image analysis software delivers a detailed analysis of a medical scan for further consideration and validation by medical professionals and researchers.
To help you drive the quality of diagnostics and medical research, we build, adapt and train ML models, incorporating four techniques, integral to accurate image analysis:
We improve image quality by raising contrast and removing spatial gaps, noise, etc. After these manipulations, the image can serve as a base for diagnosing.
We apply segmentation to single out the needed body part and remove unrelated objects. The model will see the body part more clearly and reduce the number of faulty results. Quantification allows assigning attributes (object shape, size, form, etc.) to train the model to classify images correctly.
We combine images made in different modalities or timeframes. Due to fusion, the model can receive data from different sensors (e.g. those used in CT and MRI) and learn to deliver valid results.
Our solutions can process and analyze medical images of various modalities and formats, including 3D images:
Thermography CT PET
Echocardiography Ultrasound MRI, and more
DICOM MRC ECAT7
Interfile NIfTI RAW, and more
Our experienced professionals have a full stack of technologies to provide solutions for healthcare professionals, patients, and researchers. Medical CRMs, mobile health software, programming solutions for medical equipment – we can do this and more.
We create custom and platform-based analytical tools to enable healthcare data analysis at diagnostic, predictive and preventive levels.
Itransition trains and deploys custom machine learning models to enable advanced image recognition, visual search, robotic vision, and more, integrating these capabilities into web, mobile and embedded platforms.
Our team takes part in ML projects for a range of industries, such as retail, finance, healthcare and more. We’ll consult you on the optimal solution and create software that meets your key business needs.
Working on your ML-driven system, we will follow this straightforward 3-step process to create your foundation for advanced data operations. This in turn will result in solutions to be applied in real-life business or scientific settings.
With your requirements in mind, we create custom data scripts to be added to ready-made third-party ML models or to custom models we deliver according to your needs and specifications.
Prior to training, we clean up and label your data. Then we train neural networks applying specific algorithms to your datasets that include raw structured and unstructured data generated by humans and machines.
We monitor the results and refine the learning process until the results get satisfactory, i.e. neural networks stabilize and the developed software starts learning from its own mistakes without any human intervention.
Itransition’s healthtech consultants look at how medical image analysis redefines diagnostics and supports clinical decision-making.
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