Prostate mpMRI with radiology reports for prostate cancer detection

Overview

Multiparametric prostate MRI for development and validation of prostate cancer detection and grading AI. Sequences: - T2-weighted required - Diffusion weighted with ADC maps strongly preferred - Dynamic contrast enhanced where available Also needed: - Linked radiology report per study - PI-RADS assessment where it was recorded - Biopsy or histopathology outcome linked to the study where available, since that is the ground truth that matters for this use case Field strength: 3T preferred, 1.5T considered case by case. State the field strength and scanner model per study. Indicative volume 200 to 1,200 studies.

Progress

Data Specifications

Use Cases

• •Training and validating Medical imaging AI/ML models
• •Benchmarking Medical imaging detection and segmentation algorithms
• •Building de-identified Medical imaging research datasets for academic studies
• •Augmenting existing Medical imaging datasets to reduce class imbalance