Splenic Mass
The images are processed in order to reveal additional features from the original image. The features that correlate with malignancies, normal and benign tissues are used to build a machine learning model. The machine learning model can then be use to generate a score to identify future images as normal, benign or malignant. We currently building models to identify the following conditions:
Splenic Mass
- Source Image: Ultrasound
- Status: 99% separation between benign and malignant lesions
- Next Steps: Test more types of benign (4 types tested) and malignant (3 types tested) lesions
Stifel Joint
- Source Image: Radiograph
- Status: Beta Version Operational, 100% separation between normal and torn ACL
- Next Steps: Test more images and conditions