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Breast tissue segmentation and mammographic risk scoring using deep learning. / Petersen, Peter Kersten; Nielsen, Mads; Diao, Pengfei; Karssemeijer, Nico; Lillholm, Martin.
Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. ed. / Hiroshi Fujita; Takeshi Hara; Chisako Muramatsu. Springer Science+Business Media, 2014. p. 88-94 (Lecture notes in computer science, Vol. 8539).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Petersen, PK
, Nielsen, M, Diao, P, Karssemeijer, N
& Lillholm, M 2014,
Breast tissue segmentation and mammographic risk scoring using deep learning. in H Fujita, T Hara & C Muramatsu (eds),
Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Springer Science+Business Media, Lecture notes in computer science, vol. 8539, pp. 88-94, International Workshop, IWDM 2014, Gifu City, Japan,
29/06/2014.
https://doi.org/10.1007/978-3-319-07887-8_13APA
Petersen, P. K.
, Nielsen, M., Diao, P., Karssemeijer, N.
, & Lillholm, M. (2014).
Breast tissue segmentation and mammographic risk scoring using deep learning. In H. Fujita, T. Hara, & C. Muramatsu (Eds.),
Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings (pp. 88-94). Springer Science+Business Media. Lecture notes in computer science Vol. 8539
https://doi.org/10.1007/978-3-319-07887-8_13Vancouver
Petersen PK
, Nielsen M, Diao P, Karssemeijer N
, Lillholm M.
Breast tissue segmentation and mammographic risk scoring using deep learning. In Fujita H, Hara T, Muramatsu C, editors, Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Springer Science+Business Media. 2014. p. 88-94. (Lecture notes in computer science, Vol. 8539).
https://doi.org/10.1007/978-3-319-07887-8_13Author
Petersen, Peter Kersten ; Nielsen, Mads ; Diao, Pengfei ; Karssemeijer, Nico ; Lillholm, Martin. / Breast tissue segmentation and mammographic risk scoring using deep learning. Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. editor / Hiroshi Fujita ; Takeshi Hara ; Chisako Muramatsu. Springer Science+Business Media, 2014. pp. 88-94 (Lecture notes in computer science, Vol. 8539).
Bibtex
@inproceedings{938dbc4aab944e6eba3c3781255ed831,
title = "Breast tissue segmentation and mammographic risk scoring using deep learning",
keywords = "Unsupervised feature learning, deep learning, breast cancer, mammograms, prognosis, risk factor, segmentation",
author = "Petersen, {Peter Kersten} and Mads Nielsen and Pengfei Diao and Nico Karssemeijer and Martin Lillholm",
year = "2014",
doi = "10.1007/978-3-319-07887-8_13",
language = "English",
isbn = "978-3-319-07886-1",
series = "Lecture notes in computer science",
publisher = "Springer Science+Business Media",
pages = "88--94",
editor = "Hiroshi Fujita and Takeshi Hara and Chisako Muramatsu",
booktitle = "Breast imaging",
address = "Singapore",
note = "null ; Conference date: 29-06-2014 Through 02-07-2014",
}
RIS
TY - GEN
T1 - Breast tissue segmentation and mammographic risk scoring using deep learning
AU - Petersen, Peter Kersten
AU - Nielsen, Mads
AU - Diao, Pengfei
AU - Karssemeijer, Nico
AU - Lillholm, Martin
N1 - Conference code: 12
PY - 2014
Y1 - 2014
KW - Unsupervised feature learning
KW - deep learning
KW - breast cancer
KW - mammograms
KW - prognosis
KW - risk factor
KW - segmentation
U2 - 10.1007/978-3-319-07887-8_13
DO - 10.1007/978-3-319-07887-8_13
M3 - Article in proceedings
SN - 978-3-319-07886-1
T3 - Lecture notes in computer science
SP - 88
EP - 94
BT - Breast imaging
A2 - Fujita, Hiroshi
A2 - Hara, Takeshi
A2 - Muramatsu, Chisako
PB - Springer Science+Business Media
Y2 - 29 June 2014 through 2 July 2014
ER -
