Using the LungMAP image atlas (http://lungmap.net), the team developed an image segmentation pipeline to help researchers more effectively utilize open-access images of lungs in various developmental stages. The work of the Data+ team allows biologists and clinical researchers to quantify changes in lung structure during fetal development, and improve understanding of normal lung structure and function.
Article on LungMAP project https://biostat.duke.edu/news/data-wraps
- Robert Ravier, Ph.D. candidate, Mathematics
- Pablo Ortiz, Duke University Biomedical Engineering
- Lina Yang, Duke University Biostatistics
- Vivek Sriram, Duke University Computer Science, Mathematics
- All quantitative STEM