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LMU Munich: Prospective study shows the suitability of a semi-automatic approach to assess changes in prostate MRI after prostatic artery embolization
A prospective, monocentric study [1] conducted by Vanessa F. Schmidt and her colleagues at the University Hospital Munich (LMU) evaluated the morphological and volumetric changes in MRI data of…
Fighting prostate cancer with AI and automatic segmentation
Advances in technology, especially in the field of AI, can significantly relieve the ever-increasing workload of radiologists today. We are continuously striving to make the most out of the…
Structure, Gather, and Share Data Faster with the mint Lesion™ Browser-Based Application
Whether in clinical routine, in clinical trials or in clinical research, mint Lesion™ is a reliable and strong supporter of its users’ individual workflows. To enhance this role further and offer…
RSNA 2021
Registration for RSNA 2021 is now open! RSNA 2021 is the place where new ideas and technologies that redefine what it means to work as a radiologist will come to…
RACOON: A revolutionary project with all German university hospitals in the University Medicine Network (NUM)
The idea of aggregating clinical data from different sources, processing it in a structured way and using it for joint research may not be new, but actually implementing it has mostly been wishful…
„Anatomical GPS“ for mint Lesion™: Leveraging the Snke OS/Brainlab Anatomic Patient Model to drive anatomic-context-awareness and automation within mint Lesion™
More automation within mint Lesion™? Automated context-dependent template selection, filtering of relevant questions or even fully automated organ and lesion…
High-quality annotated data in clinical routine
The desire to standardize reporting and to get even more out of their oncological images led to the partnership of the Noordwest Ziekenhuisgroep in the Netherlands and Mint Medical. …
Raising our awareness in pediatric cancer
The terms rare, uncommon, infrequent are commonly used to describe the occurrence of cancer in children – from a prevalence perspective, “only” around 400,000 children are diagnosed with…