Adaptive Large-Scale Framework for Automatic Biomedical Image Segmentation
Description: PUBLIC HEALTH RELEVANCE: This research will make it possible for a wide community of researchers who collect and analyze medical imaging data to take advantage of a new class of computer algorithms that very accurately label and measure anatomical structures and pathological formations in medical images. By offering more accurate image-derived measurements, the project promises to improve the accuracy of diagnosis, reduce the costs of biomedical re- search studies and pharmaceutical trials, and accelerate scientific discovery.
Funding type: research
Funder scheme: R01
Start date: 2014-08-01
End date: 2020-07-31
Investigator: PAUL A. YUSHKEVICH
Institution: UNIVERSITY OF PENNSYLVANIA
Funded outputs count: 76
Funder award ID: R01EB017255
OpenAlex ID: G4834807092