Conference proceeding
Characterizing Virtual Slide Exploration Through the Use of 'Search Maps'
Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment, Vol.7966(1), pp.79660Q-79660Q-10
Proceedings of SPIE
01/01/2011
DOI: 10.1117/12.878008
Abstract
Currently very little is known about the process by which pathologists arrive at a diagnosis on a case. This process is an integration of the pathologist's slide exploration strategy, perceptual information gathering and cognitive decision making. We have developed a methodology to statically represent the pathologists' dynamic visual search of digital slides by creating a representation of visual sampling called 'search maps'. In these maps slide exploration is divided into three parts, according to the magnification range used. In other words, areas explored at low magnification (<=4x), medium magnification (>4x-10x) and high magnification (>10x-20x) are represented separately. Moreover, representation using the 'search maps' allows for quantitative analysis and pairwise comparison of slide exploration strategy. In this paper we have compared the search maps of experienced pathologists and those of Pathology residents. Our goal was to understand how search differs between the experts and the trainees.
Details
- Title: Subtitle
- Characterizing Virtual Slide Exploration Through the Use of 'Search Maps'
- Creators
- Claudia Mello-Thoms - University of PittsburghCarlos A. Mello - Federal University of PernambucoOlga Medvedeva - University of PittsburghEugene Tseytlin - University of PittsburghRebecca Crowley - University of Pittsburgh
- Contributors
- David J Manning (Editor)Craig K Abbey (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment, Vol.7966(1), pp.79660Q-79660Q-10
- Publisher
- Spie-Int Soc Optical Engineering
- Series
- Proceedings of SPIE
- DOI
- 10.1117/12.878008
- ISSN
- 0277-786X
- eISSN
- 1996-756X
- Number of pages
- 10
- Language
- English
- Date published
- 01/01/2011
- Academic Unit
- Radiology; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984318689302771
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