FULCRUM: A model for the design of educational tools and enabling machine learning/deep learning tools for automated lesion detection
https://malmic.ca/wp-content/uploads/2025/03/shutterstock_476546674-1024x683.jpg 1024 683 MaLMIC - Machine Learning in Medical Imaging Consortium MaLMIC - Machine Learning in Medical Imaging Consortium https://malmic.ca/wp-content/uploads/2025/03/shutterstock_476546674-1024x683.jpgApril 25, 2025 from 3:00 to 4:30 p.m. ET
Glenn Bauman and Katherine Zukotynski will talk at the April MaLMIC forum about FULCRUM, a clinical imaging database they created. It is a database of PSMA PET/CT scans acquired as part of a province-wide prospective study. It is composed of approximately 1000 men with recurrent prostate cancer imaged with 18F-DCFPyL or 18F-PSMA 1007 with centralized expert review, annotation and segmentation of PET-detected recurrent prostate cancer foci. The database is being used to design educational tools and enable machine learning/deep learning tools for automated lesion detection.
