Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm

Research output: Contribution to journalArticlepeer-review

233 Scopus citations

Fingerprint

Dive into the research topics of 'Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring'. Together they form a unique fingerprint.

Medicine & Life Sciences

Engineering & Materials Science