MULTIPARAMETRIC TISSUE
SIGNATURE

Artificial Intelligence for solid tumor analysis

Artificial Intelligence for biological heterogeneity assessment of glioblastoma based on medical image analysis

Improving patient prognosis, predicting response to treatment

Magnetic Resonance Image Preprocessing

MRI quality improvement by supressing unwilling distortions and artifacts such as magnetic field inhomogeneities, image noise, patient motion, etc.

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Anatomical Tumor Segmentation

Automated delineation of enhancing tumor, necrotic core and peritumoral edema tissues through Deep Learning state-of-the-art Convolutional Neural Networks.

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Imaging Biomarker Quantification

Functional assessment of biological imaging markers from perfusion and diffusion magnetic resonance sequences.

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Multiparametric Tissue Signature

Heterogeneity assessment of the tumor by means of the detection of functional habitats within the lesion through state-of-the-art unsupervised machine learning analysis.

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Patient stratification

Clinical trial services

Efficient patient stratification based on advanced imaging biomarkers can save up to 10% in a drug development cost in a clinical trial.

Multiparametric Tissue Signature

Technology patented P201431289

Artificial Intelligence technology to transform complex multi-parametric imaging data into clinically interpretable information.

Heterogeneity description

Functional Habitats

The multiparametric tissue signature automatically captures the tumor heterogeneity, providing a set of functional habitats with high prognostic capabilities.

ONCOhabitats technology

Open-access services for tumor heterogeneity assessment, implementing consolidated state-of-the-art techniques.

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