Workload impact of automated image analysis and deep learning on manual screening of sentinel node biopsies in breast cancer

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

Original language	English
Article number	E-PS-02-014
Journal	Virchows Archiv
Volume	471
Pages (from-to)	S297
ISSN	0945-6317
Publication status	Published - 2017
Event	29th European Congress of Pathology: Pathology for Patient Care - Amsterdam, Netherlands Duration: 2 Sept 2017 → 6 Sept 2017 Conference number: 29 https://www.esp-congress.org/_Resources/Persistent/c6589e10208b86a3700a8c1f36aca4325f15f3a4/ECP2017_Final%20Programme.pdf

Conference	29th European Congress of Pathology
Number	29
Country/Territory	Netherlands
City	Amsterdam
Period	02/09/2017 → 06/09/2017
Internet address	https://www.esp-congress.org/_Resources/Persistent/c6589e10208b86a3700a8c1f36aca4325f15f3a4/ECP2017_Final%20Programme.pdf

UN SDGs

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

@article{5cb5993ec857499985e9e6b4d63cf6d3,

title = "Workload impact of automated image analysis and deep learning on manual screening of sentinel node biopsies in breast cancer",

author = "J. Thagaard and M. Kristensson",

year = "2017",

language = "English",

volume = "471",

pages = "S297",

journal = "Virchows Archiv",

issn = "0945-6317",

publisher = "Springer",

note = "29th European Congress of Pathology : Pathology for Patient Care, ECP 2017 ; Conference date: 02-09-2017 Through 06-09-2017",

url = "https://www.esp-congress.org/_Resources/Persistent/c6589e10208b86a3700a8c1f36aca4325f15f3a4/ECP2017_Final%20Programme.pdf",

}

TY - ABST

T1 - Workload impact of automated image analysis and deep learning on manual screening of sentinel node biopsies in breast cancer

AU - Thagaard, J.

AU - Kristensson, M.

N1 - Conference code: 29

PY - 2017

Y1 - 2017

M3 - Conference abstract in journal

SN - 0945-6317

VL - 471

SP - S297

JO - Virchows Archiv

JF - Virchows Archiv

M1 - E-PS-02-014

T2 - 29th European Congress of Pathology

Y2 - 2 September 2017 through 6 September 2017

ER -