MIC-CUSP (Multimodal Image Correlations for Cancer detection on Ultra-Sound leveraging Pretraining with weak labels). First, MIC-CUSP learns richer imaging-inspired ultrasound biomarkers by leveraging registration-independent multimodal image correlations between b-mode ultrasound and two unaligned richer imaging modalities, Magnetic Resonance Imaging (MRI) and post-operative histopathology images. Second, MIC-CUSP uses the richer imaging-inspired ultrasound biomarkers as inputs to the cancer detection model to localize cancer on b-mode ultrasound images, in absence of MRI and histopathology images.
Creator
Stanford
Information
Pediatrics or Adult
Adult
Speciality
Oncology
Modality
Ultrasound
Training
Pretrained with public dataset of 1573 b-mode ultrasound scans and weak labels, and fine-tuning with 289 internal patients with strong labels