The radiology task : Bayesian theory and perception
The use of a Bayesian framework to understand how radiologists search images for pathology is important as it formalizes, mathematically, how visual and cognitive processes control eye movements by modelling the ideal searcher against which human performance can be compared. It is important that the...
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| Veröffentlicht in: | British journal of radiology 2007-06, Vol.80 (954), p.389-391 |
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| container_end_page | 391 |
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| container_issue | 954 |
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| container_title | British journal of radiology |
| container_volume | 80 |
| creator | DONOVAN, T MANNING, D. J |
| description | The use of a Bayesian framework to understand how radiologists search images for pathology is important as it formalizes, mathematically, how visual and cognitive processes control eye movements by modelling the ideal searcher against which human performance can be compared. It is important that the interpretation of medical images is understood so that new developments in the ways images are presented and the use of image processing software are matched to human abilities and limitations. |
| doi_str_mv | 10.1259/bjr/98148548 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0007-1285 |
| ispartof | British journal of radiology, 2007-06, Vol.80 (954), p.389-391 |
| issn | 0007-1285 1748-880X |
| language | eng |
| recordid | cdi_proquest_miscellaneous_68138121 |
| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Bayes Theorem Biological and medical sciences Cognition Decision Making Humans Investigative techniques, diagnostic techniques (general aspects) Medical sciences Radiographic Image Interpretation, Computer-Assisted - methods Recognition (Psychology) Retina - physiology Visual Perception - physiology |
| title | The radiology task : Bayesian theory and perception |
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