Analog Computer-Aided Detection (CAD) information can be more effective than binary marks
Analog Computer-Aided Detection (CAD) information can be more effective than binary marks
复制标题
模拟计算机辅助检测 (CAD) 信息比二进制标记更有效
DOI:
--
复制
发表时间:
2016
期刊:
影响因子:
--
通讯作者:
J. Wolfe
中科院分区:
文献类型:
--
作者:
Corbin Cunningham;Trafton Drew;J. Wolfe
In socially important visual search tasks, such as baggage screening and diagnostic radiology, experts miss more targets than is desirable. Computer-aided detection (CAD) programs have been developed specifically to improve performance in these professional search tasks. For example, in breast cancer screening, many CAD systems are capable of detecting approximately 90% of breast cancer, with approximately 0.5 false-positive detections per image. Nevertheless, benefits of CAD in clinical settings tend to be small (Birdwell, 2009) or even absent (Meziane et al., 2011; Philpotts, 2009). The marks made by a CAD system can be “binary,” giving the same signal to any location where the signal is above some threshold. Alternatively, a CAD system presents an analog signal that reflects strength of the signal at a location. In the experiments reported, we compare analog and binary CAD presentations using nonexpert observers and artificial stimuli defined by two noisy signals: a visible color signal and an “invisible” signal that informed our simulated CAD system. We found that analog CAD generally yielded better overall performance than binary CAD. The analog benefit is similar at high and low target prevalence. Our data suggest that the form of the CAD signal can directly influence performance. Analog CAD may allow the computer to be more helpful to the searcher.
登录
查看更多内容
DOI:
10.1093/jnci/djr206
发表时间:
2011-08-01
期刊:
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子:
--
作者:
Fenton, Joshua J.;Abraham, Linn;Barlow, William E.
通讯作者:
Barlow, William E.
影响因子:
4.1
作者:
Wolfe, Jeremy M.;Horowitz, Todd S.;Kibbi, Nour
通讯作者:
Kibbi, Nour
影响因子:
4.6
作者:
Evans KK;Tambouret RH;Evered A;Wilbur DC;Wolfe JM
通讯作者:
Wolfe JM
影响因子:
19.7
作者:
Rosenberg, Robert D.;Yankaskas, Bonnie C.;Ballard-Barbash, Rachel
通讯作者:
Ballard-Barbash, Rachel
影响因子:
19.7
作者:
SELTZER, SE;JUDY, PF;FELDMAN, U
通讯作者:
FELDMAN, U