Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data
(2022)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/29e2a0f9-f856-4bc4-82b5-17f071a2378e
- author
- Rejmer, Cornelia LU ; Dihge, Looket LU ; Bendahl, Pär-Ola LU ; Förnvik, Daniel LU ; Dustler, Magnus LU and Ryden, Lisa LU
- organization
-
- Surgery (Lund)
- LUCC: Lund University Cancer Centre
- Breast Cancer Surgery (research group)
- The Liquid Biopsy and Tumor Progression in Breast Cancer (research group)
- Personalized Breast Cancer Treatment (research group)
- Medical Radiation Physics, Malmö (research group)
- Radiology Diagnostics, Malmö (research group)
- publishing date
- 2022
- type
- Contribution to conference
- publication status
- published
- subject
- DOI
- 10.1158/1538-7445.SABCS21-P1-01-09
- language
- English
- LU publication?
- yes
- id
- 29e2a0f9-f856-4bc4-82b5-17f071a2378e
- date added to LUP
- 2022-05-13 12:10:09
- date last changed
- 2022-05-13 13:50:39
@misc{29e2a0f9-f856-4bc4-82b5-17f071a2378e, author = {{Rejmer, Cornelia and Dihge, Looket and Bendahl, Pär-Ola and Förnvik, Daniel and Dustler, Magnus and Ryden, Lisa}}, language = {{eng}}, title = {{Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data}}, url = {{http://dx.doi.org/10.1158/1538-7445.SABCS21-P1-01-09}}, doi = {{10.1158/1538-7445.SABCS21-P1-01-09}}, year = {{2022}}, }