The Knowledge Hub for Medical Imaging Professionals: Transforming Radiology with Structured Reporting, Data-Driven Approaches and Multicentric Research

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Customized templates in mint Lesion 3.3

mint Lesion™ 3.3 features a novel data and knowledge modelling core that enables you to customize read procedures and reporting templates – or design them easily yourself.

Among the new oncologic screening and staging guidelines, we introduce comprehensive support for ACR BI-RADS®, a refined PI-RADSv2 template, lymphoma staging following the Ann Arbor schema, PCI (Peritoneal Cancer Index) scoring, as well as TACE / HCC templates and transplantation eligibility assessment and documentation.

We have extended the interactive anatomic location maps and provide support for a more detailed classification of anatomic sites supporting standards like the RadLex® classification.

Related Resources

Related Resources

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2,237 Patients, 11 Hospitals, four HCC Criteria: A Comparison Study

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RACOON: A Guide to Bridging the Gap Between Simulated and Real-World Federated Learning Research

Deep learning (DL) has become an important part of radiological image analysis. To train these deep-learning models, access to large and diverse…