Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data
(2022) In Cancer Research 82(4, Suppl).
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 journal
- publication status
- published
- subject
- in
- Cancer Research
- volume
- 82
- issue
- 4, Suppl
- article number
- P1-01-09
- publisher
- American Association for Cancer Research Inc.
- ISSN
- 1538-7445
- 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
- 2025-04-04 14:23:48
@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}}, issn = {{1538-7445}}, language = {{eng}}, note = {{Conference Abstract}}, number = {{4, Suppl}}, publisher = {{American Association for Cancer Research Inc.}}, series = {{Cancer Research}}, 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}}, volume = {{82}}, year = {{2022}}, }