Breast tissue segmentation and mammographic risk scoring using deep learning - Staff

Department of Computer Science

Breast tissue segmentation and mammographic risk scoring using deep learning

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Peter Kersten Petersen
Nielsen, Mads
Pengfei Diao
Nico Karssemeijer
Lillholm, Martin

Original language	English
Title of host publication	Breast imaging : 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings
Editors	Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu
Number of pages	7
Publisher	Springer Science+Business Media
Publication date	2014
Pages	88-94
ISBN (Print)	978-3-319-07886-1
ISBN (Electronic)	978-3-319-07887-8
DOIs	https://doi.org/10.1007/978-3-319-07887-8_13
Publication status	Published - 2014
Event	International Workshop, IWDM 2014 - Gifu City, Japan Duration: 29 Jun 2014 → 2 Jul 2014 Conference number: 12

Conference

Conference	International Workshop, IWDM 2014
Nummer	12
Land	Japan
By	Gifu City
Periode	29/06/2014 → 02/07/2014

Series	Lecture notes in computer science
Volume	8539
ISSN	0302-9743

ID: 132042313