Find the artificial intelligence based software for radiology that you are looking for.
All products listed are available for the European market (CE marked).
Independent second read, recall suggestion, suspicious region marking, image indications
Mia supports radiologists in making the recall decision in breast cancer screening. Available to use in various configurations such as an independent second reader, a concurrent reader or in double ...
Breast density classification (ACR BI-RADS), real time image quality assessment, lesion and ...
Stand-alone AI system for assessment of mammographic breast density, real-time evaluation of image quality, lesion detection and mechanism for personalized suggestion of supplemental diagnostics.
Malignancy detection, calcification detection, certainty scoring, case scoring
Designed for radiologists, ProFound AI™ for 2D Mammography analyzes each image, detecting both malignant soft tissue densities and calcifications.
T2 values, T2 Histogram
Quibim has developed this suite to automatically obtain the T2 mapping of tumors and depict changes and abnormalities with AI segmentation. The analysis of T2 mapping provides imaging biomarkers for ...
Parametric maps, Diffusion coefficient, Psuedodiffusion coefficient, Perfusion fraction
Quibim’s Diffusion Weighted Imaging (DWI) – IVIM automatically performs intra-voxel incoherent motion (IVIM) analysis to detect changes in the microstructure of tissues to assess cancer processes in ...
Quantification, Radiomics, imaging biomarker discovery
Quibim has developed the Texture Analysis to quantify features related to the heterogeneity of the tissues and obtain texture parameters.
ADC Map, Histogram, Volume of smallest bvalue, values of ADC parameters
Quibim’s Diffusion Weighted Imaging (DWI) - ADC enables to automatically calculate the apparent diffusion coefficient (ADC) to quantify the diffusion of water molecules in tissues. The suite provides ...
Images negativation, risk mapping, breast density.
Breast-SlimView is a clinical decision support solution for 2D/3D mammography. It has learnt to detect what is normal from a database of mammograms, then, based on this normalized database, it learns ...