Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches
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Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning
This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…
Insights into the BORN Project: Development and Successes with Dr. Maurice Heimer
The BORN-project of the Bavarian Center for Cancer Research (BZKF) is making swift progress in its second funding phase. A key aspect of the project…
Key Imaging Features for Differentiating Rare Pancreatic Tumors
Solid pseudopapillary neoplasms (SPN), also known as Frantz tumors, are rare tumors of the pancreas. Due to overlapping features of SPN and pancreatic…
2,237 Patients, 11 Hospitals, four HCC Criteria: A Comparison Study
A recent study, conducted across 11 South Korean hospitals, compared the diagnostic performance of four hepatocellular carcinoma (HCC) diagnostic…
Advancing Real-World Federated Learning in Radiology
Federated Learning (FL) enables collaborative model training without data centralization – a crucial aspect for radiological image analysis where…
On-Site BZKF BORN Roll-Out Trainings Keep on Going
Our expert Steffen Rupp recently visited the Technical University of Munich to continue the on-site BZKF BORN Roll-Out Trainings.
As mentioned…
Unveiling the Predictive Power of Pericardial Effusion in COVID-19 Outcomes
The COVID-19 pandemic wreaked havoc on healthcare systems worldwide, requiring a comprehensive understanding of disease progression for optimal…
Advancing Childhood Cancer Research: The Role of Technology in Brain Tumor Diagnosis and Treatment
Brain cancers account for more than 15% of childhood cancers and are the second most common childhood cancer [1].
Mint Medical is Going Gray in May…
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