- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Mirada teams with R2 Technology
U.K.-based Mirada Solutions and R2 Technology of Sunnyvale, CA, have agreed to integrate R2's OmniCAD computer-assisted diagnosis platform with Mirada's Standard Mammogram Form (SMF) technology to create the next generation of CAD systems for
U.K.-based Mirada Solutions and R2 Technology of Sunnyvale, CA, have agreed to integrate R2's OmniCAD computer-assisted diagnosis platform with Mirada's Standard Mammogram Form (SMF) technology to create the next generation of CAD systems for mammography. SMF, described by the two companies as being intrinsic to the tissue characteristics of the breast, provides an optimal starting point to develop robust CAD applications, executives from the two companies said. SMF is a standardized representation of a mammogram computed from the image intensities (film or digital) and imaging parameters of the system used to acquire the image. The SMF standardization technology enables the optimization of mammograms acquired on different systems at different times for analysis, quantification, and display.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.
