Prompting in Mammography: How Good Must Prompt Generators Be?

Sue Astley; Reyer Zwiggelaar; Chris Wolstenholme; Karen Davies; Tim Parr; Christopher J. Taylor

doi:10.1007/978-94-011-5318-8_56

Prompting in Mammography: How Good Must Prompt Generators Be?

Sue Astley, Reyer Zwiggelaar, Chris Wolstenholme, Karen Davies, Tim Parr, Christopher J. Taylor

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The UK breast screening programme generates in excess of one and a half million X-ray mammograms per year, all of which must be carefully searched for any signs of disease by experienced radiologists. Signs of early cancer are often small or subtle, and occur only infrequently. The consequences of errors are costly, and in many centres, films are read by two experienced radiologists in an attempt to improve accuracy.

Original language	English
Title of host publication	Digital Mammography
Subtitle of host publication	Nijmegen, 1998
Editors	Nico Karssemeijer, Martin Thijssen, Jan Hendriks, Leon Erning
Publisher	Springer Nature
Pages	347-354
Number of pages	8
ISBN (Electronic)	978-94-011-5318-8
ISBN (Print)	978-0-7923-5274-7, 978-94-010-6234-3
DOIs	https://doi.org/10.1007/978-94-011-5318-8_56
Publication status	Published - 31 Oct 1998
Externally published	Yes

Publication series

Name	Computational Imaging and Vision
Publisher	Springer Nature
Volume	13
ISSN (Print)	1381-6446

Keywords

classification
diagnosis
image processing
imaging
imaging techniques
performance

UN SDGs

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

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10.1007/978-94-011-5318-8_56

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Astley, S., Zwiggelaar, R., Wolstenholme, C., Davies, K., Parr, T., & Taylor, C. J. (1998). Prompting in Mammography: How Good Must Prompt Generators Be? . In N. Karssemeijer, M. Thijssen, J. Hendriks, & L. Erning (Eds.), Digital Mammography: Nijmegen, 1998 (pp. 347-354). (Computational Imaging and Vision; Vol. 13). Springer Nature. https://doi.org/10.1007/978-94-011-5318-8_56

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abstract = "The UK breast screening programme generates in excess of one and a half million X-ray mammograms per year, all of which must be carefully searched for any signs of disease by experienced radiologists. Signs of early cancer are often small or subtle, and occur only infrequently. The consequences of errors are costly, and in many centres, films are read by two experienced radiologists in an attempt to improve accuracy.",

keywords = "classification, diagnosis, image processing, imaging, imaging techniques, performance",

author = "Sue Astley and Reyer Zwiggelaar and Chris Wolstenholme and Karen Davies and Tim Parr and Taylor, {Christopher J.}",

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language = "English",

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editor = "Nico Karssemeijer and Martin Thijssen and Jan Hendriks and Erning, {Leon }",

booktitle = "Digital Mammography",

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Prompting in Mammography: How Good Must Prompt Generators Be? . / Astley, Sue; Zwiggelaar, Reyer; Wolstenholme, Chris et al.
Digital Mammography: Nijmegen, 1998. ed. / Nico Karssemeijer; Martin Thijssen; Jan Hendriks; Leon Erning. Springer Nature, 1998. p. 347-354 (Computational Imaging and Vision; Vol. 13).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Prompting in Mammography

T2 - How Good Must Prompt Generators Be?

AU - Astley, Sue

AU - Zwiggelaar, Reyer

AU - Wolstenholme, Chris

AU - Davies, Karen

AU - Parr, Tim

AU - Taylor, Christopher J.

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KW - diagnosis

KW - image processing

KW - imaging

KW - imaging techniques

KW - performance

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ER -

Prompting in Mammography: How Good Must Prompt Generators Be?

Abstract

Publication series

Keywords

UN SDGs

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