Modeling visual search during mammogram viewing
Modeling visual search during mammogram viewing
复制标题
在乳房 X 光检查期间建模视觉搜索
作者：
H. Kundel;C. Nodine
本研究的目的是确定从眼位记录获得的视觉扫描路径中获得的定量参数，并使用搜索和错误模型进行解析，是否可以用于区分不同专业水平的读者。专业知识建立在训练水平和图像阅读测试分数的基础上。本文回顾了9名阅读者的眼位记录，这些阅读者检索了31例乳腺癌的两视图（cc和mlo）乳房x线片。测量了以凝视位置中心为中心的5度视角的“有用视野”击中病灶的可能性，以及首次击中病灶所需的时间和在病灶区域的注视停留时间。使用搜索模型，将命中和未命中分类为扫描、识别和决策三类。当使用搜索模型的类别进行比较时，乳房x光检查人员与受训人员显着不同。
The purpose of this study was to determine if quantitative parameters derived from visual scanpaths obtained by eye-position recording and parsed using a search and error model can be used to separate readers with different levels of expertise. Expertise was established on the basis of level of training and scores on an image reading test. The eye-position recordings of 9 readers, who searched 31, two view (cc and mlo) mammograms for breast cancer were reviewed. The likelihood of hitting a lesion with a "useful visual field" of 5 degrees of visual angle circumscribed about the center of the gaze location was measured as well as the time required to first hit a lesion and the fixation dwell time on the lesion zone. The hits and misses were classified, using the search model, into scanning, recognition and decision categories. The mammographers were significantly different from the trainees when compared using the categories of the search model.
影响因子：
6.7
作者：
KUNDEL, HL;NODINE, CF;TOTO, L
通讯作者：
TOTO, L