Image Deep Learning Support Tool Noel Spec + Growth RTV
Introducing the new recommended model for adding new regions of interest to CT and DICOM-RT data!
"Noel Spec + Growth RTV" is a 3D medical imaging deep learning support tool. "Growth RTV" is a 3D medical imaging deep learning support platform equipped with programmable Python integration features, allowing users to obtain 3D image data with simple Python scripts, even without knowledge of handling DICOM. At Applied, we provide the 'Be-Clia Type-TR9IS17/18' as a recommended operating model. 【Growth RTV Features】 ■ Obtain 3D image data with simple Python scripts ■ Perform data annotation, data analysis, data extraction and processing, learning, evaluation, etc., for deep learning ■ Growth collaboration model *For more details, please refer to the related links or feel free to contact us.
basic information
[Recommended Action Model Lineup] ■Be-Clia Type-TR9IS17 ■Be-Clia Type-TR9IS18 *For more details, please refer to the related links or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
【Usage】 ■3D Medical *For more details, please refer to the related links or feel free to contact us.
