The semiotics of medical image Segmentation

• Published in: Medical image analysis Vol. 44; pp. 54 - 71
• Main Authors: Baxter, John S.H., Gibson, Eli, Eagleson, Roy, Peters, Terry M.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2018; Elsevier BV
• Subjects: Algorithms; Computer applications; Computers; Human computer interaction; Image processing; Image processing systems; Image Processing, Computer-Assisted - methods; Image segmentation; Interface metaphors; Interfaces; Machine Learning; Medical image segmentation; Medical imaging; Metaphor; Models, Theoretical; Pattern Recognition, Automated - methods; Peircean semiotics; Reproducibility of Results; Semiotics; Sensitivity and Specificity; Systems Integration; Traditions; User-Computer Interface; Human computer interaction; Interface metaphors; Peircean semiotics; Medical image segmentation

•A semiotics-driven framework for understanding knowledge-driven interaction in medical image segmentation is proposed.•This framework is grounded in Peircean semiotics in order to structure and characterize how particular interactions are interpreted by both the user and the computer.•Using the not...