eprintid: 10040618
rev_number: 34
eprint_status: archive
userid: 608
dir: disk0/10/04/06/18
datestamp: 2018-01-02 14:48:19
lastmod: 2021-10-09 22:35:53
status_changed: 2018-03-21 16:37:22
type: article
metadata_visibility: show
creators_name: Baxter, JSH
creators_name: Gibson, E
creators_name: Eagleson, R
creators_name: Peters, TM
title: The Semiotics of Medical Image Segmentation
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F42
keywords: Medical image segmentation, Peircean semiotics, Human computer interaction, Interface metaphors
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: As the interaction between clinicians and computational processes increases in complexity, more nuanced mechanisms are required to describe how their communication is mediated. Medical image segmentation in particular affords a large number of distinct loci for interaction which can act on a deep, knowledge-driven level which complicates the naive interpretation of the computer as a symbol processing machine. Using the perspective of the computer as dialogue partner, we can motivate the semiotic understanding of medical image segmentation. Taking advantage of Peircean semiotic traditions and new philosophical inquiry into the structure and quality of metaphors, we can construct a unified framework for the interpretation of medical image segmentation as a sign exchange in which each sign acts as an interface metaphor. This allows for a notion of finite semiosis, described through a schematic medium, that can rigorously describe how clinicians and computers interpret the signs mediating their interaction. Altogether, this framework provides a unified approach to the understanding and development of medical image segmentation interfaces.
date: 2018-02
date_type: published
official_url: http://doi.org/10.1016/j.media.2017.11.007
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_id: 1519926
doi: 10.1016/j.media.2017.11.007
lyricists_name: Gibson, Eli
lyricists_id: EGIBS90
actors_name: Bracey, Alan
actors_id: ABBRA90
actors_role: owner
full_text_status: public
publication: Medical Image Analysis
volume: 44
pagerange: 54-71
issn: 1361-8415
citation:        Baxter, JSH;    Gibson, E;    Eagleson, R;    Peters, TM;      (2018)    The Semiotics of Medical Image Segmentation.                   Medical Image Analysis , 44    pp. 54-71.    10.1016/j.media.2017.11.007 <https://doi.org/10.1016/j.media.2017.11.007>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10040618/1/Gibson_The%20Semiotics%20of%20Medical%20Image%20Segmentation_AAM.pdf