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.
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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.
| Type: | Article |
|---|---|
| Title: | The Semiotics of Medical Image Segmentation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.media.2017.11.007 |
| Publisher version: | http://doi.org/10.1016/j.media.2017.11.007 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Medical image segmentation, Peircean semiotics, Human computer interaction, Interface metaphors |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10040618 |
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