VISUAL SCANNING, PATTERN-RECOGNITION AND DECISION-MAKING IN PULMONARY NODULE DETECTION
VISUAL SCANNING, PATTERN-RECOGNITION AND DECISION-MAKING IN PULMONARY NODULE DETECTION
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DOI：
10.1097/00004424-197805000-00001
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发表时间：
1978-01-01
影响因子：
6.7
通讯作者：
CARMODY, D
中科院分区：
文献类型：
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作者：
KUNDEL, HL;NODINE, CF;CARMODY, D
当四名受试者搜索一组60张照片时，记录了眼睛的运动，其中24张是正常的，36张是异常的，寻找肺结节。研究了胶片正常和含结节区域的错误率、扫描模式和定影团的停留时间。基于延长的停留时间意味着对视觉数据的密集处理的假设，建立了一个包括定位、扫描、模式识别和决策四个步骤的结节检测模型。将假阴性错误分为三类：扫描错误、识别错误和决策错误。在20个假阴性错误中，30%被认为是扫描，25%是识别，45%是决策。
Eye movements were recorded while four subjects searched a set of 60 films, 24 normal and 36 abnormal, for pulmonary nodules. Error rates, scanning patterns and the dwell time of fixation clusters on normal and nodule-containing areas of the film were studied. Using the assumption that prolonged dwell time indicates intensive processing of visual data, a model was developed for nodule detection that includes four steps: orientation, scanning, pattern recognition and decision-making. False-negative errors were divided into three classes: scanning errors, recognition errors and decision-making errors. Of 20 false-negative errors, 30% were considered scanning, 25% recognition and 45% decision-making.