TY  - JOUR
ID  - discovery10040618
N2  - 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.
SN  - 1361-8415
UR  - http://doi.org/10.1016/j.media.2017.11.007
JF  - Medical Image Analysis
KW  - Medical image segmentation
KW  -  Peircean semiotics
KW  -  Human computer interaction
KW  -  Interface metaphors
A1  - Baxter, JSH
A1  - Gibson, E
A1  - Eagleson, R
A1  - Peters, TM
TI  - The Semiotics of Medical Image Segmentation
EP  - 71
Y1  - 2018/02//
AV  - public
VL  - 44
SP  - 54
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ER  -