Medical software
CTfor DICOMfor radiation therapy

Medical software - AQUILAB - CT / for DICOM / for radiation therapy
Medical software - AQUILAB - CT / for DICOM / for radiation therapy
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Characteristics

Applications
medical, CT, for DICOM, for radiation therapy, chemotherapy
Function
data management, image analysis, data analysis, clinical trial management, for control, DICOM viewing, treatment, data processing, AI, standardization, data collection
Type
cloud
Deployment mode
cloud, for smartphones, for tablet PC

Description

The analytical tools of Onco Place provide statistical analyses and data processing models based on the data collected within Onco Place. Its goal is to go beyond simple data collection to achieve the transformation and exploration of data on patient cohorts. Presentation and Features Radiomics Extract radiomic features (intensities, shapes, textures) from your 3D CT imaging and radiotherapy contours. Radiomic calculations are performed using the PyRadiomics library in compliance with the Image Biomarker Standardization Initiative. AI Contouring AI models for automatic segmentation to standardize and expedite the workflow. Descriptive Statistics Calculates first-order statistics to summarize the project's database. This provides an overview and can facilitate quality control. Exemple Number and percentage of patients receiving chemotherapy or average duration of treatment. Dose-Volume Histogram Automatically calculates (or reads) Dose-Volume Histograms (DVHs) based on DICOM images and previously uploaded DICOM RT data (contours and RT dose distribution) on the Onco Place platform. Dose Indices Allows the calculation of dose indices based on user-defined models and previously calculated DVHs. All dose indices can be used as new features in other modules. Example Dmean, DV%, VDGy, Near-min Dose, Dmax, DSC, gEUD... Variable Creation Allows for the definition and extraction of new features (data) from the original project database or from previously extracted or calculated features. Calculated dose indices can also be used as input in this module. All newly extracted features can be integrated into other analysis modules.

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