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The Keosys Blog

Expert insights into medical imaging in clinical trials.

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Keosys
How to Prepare an Imaging Study While Minimizing Budget and Risk
Sometimes sponsors and CROs are not sure in the early stages of a trial that..
Lucie Rivière
An Overview of the Latest Innovations in Imaging Technology
The health industry has been impacted by numerous technological advances in..
Medical Imaging Data Synthesis using Generative Adversarial Networks
Combining different modalities as done with PET/CT, clinical decision making is..
Deep Learning Approaches for Bone and Bone Lesion Segmentation on 18FDG PET/CT Imaging in the Context of Metastatic Breast Cancer
Introduction In the context of metastatic breast cancer, tumor segmentation can..
Automatic Segmentation of Liver Metastases in PET/CT Imaging with Deep Learning
Introduction In the context of metastatic breast cancer treatment, PET/CT..
Active Organ Segmentation in Metastatic Breast Cancer Images Combining Superpixels and Deep Learning Methods
Introduction In the clinical follow-up of metastatic breast cancer patients,..
The Comparison Between Traditional and Deep Learning-Based Semi-Automatic Segmentation Methods for Metastatic Breast Cancer Lesion Monitoring
Introduction Breast cancer is the most common cancer in women and the second..
AI in Medical Imaging: The Kidney Tumor Segmentation Challenge
Precise characterization of the kidney and kidney tumor characteristics is of..
AI in Medical Imaging
At the beginning of the year, an article in Nature Medicine was published that..
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