Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data

Cornelia Rejmer; Looket Dihge; Pär-Ola Bendahl; Daniel Förnvik; Magnus Dustler; Lisa Ryden

doi:10.1158/1538-7445.SABCS21-P1-01-09

Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data

Cornelia Rejmer, Looket Dihge, Pär-Ola Bendahl, Daniel Förnvik, Magnus Dustler, Lisa Ryden

Skåne University Hospital

Research output: Contribution to journal › Published meeting abstract

Original language	English
Article number	P1-01-09
Journal	Cancer Research
Volume	82
Issue number	4, Suppl
DOIs	https://doi.org/10.1158/1538-7445.SABCS21-P1-01-09
Publication status	Published - 2022

Subject classification (UKÄ)

Cancer and Oncology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1158/1538-7445.SABCS21-P1-01-09Licence: Unspecified

Cite this

@article{29e2a0f9f8564bc482b517f071a2378e,

title = "Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data",

author = "Cornelia Rejmer and Looket Dihge and P{\"a}r-Ola Bendahl and Daniel F{\"o}rnvik and Magnus Dustler and Lisa Ryden",

year = "2022",

doi = "10.1158/1538-7445.SABCS21-P1-01-09",

language = "English",

volume = "82",

journal = "Cancer Research",

issn = "1538-7445",

publisher = "American Association for Cancer Research Inc.",

number = "4, Suppl",

}

TY - JOUR

T1 - Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data

AU - Rejmer, Cornelia

AU - Dihge, Looket

AU - Bendahl, Pär-Ola

AU - Förnvik, Daniel

AU - Dustler, Magnus

AU - Ryden, Lisa

PY - 2022

Y1 - 2022

U2 - 10.1158/1538-7445.SABCS21-P1-01-09

DO - 10.1158/1538-7445.SABCS21-P1-01-09

M3 - Published meeting abstract

SN - 1538-7445

VL - 82

JO - Cancer Research

JF - Cancer Research

IS - 4, Suppl

M1 - P1-01-09

ER -