Radiologists face the visually challenging task of detecting suspicious features within the
complex and noisy backgrounds characteristic of medical images. We used a search task to …

Radiologists must classify and interpret medical images on the basis of visual inspection.
We examined how the perception of radiological scans might be affected by common …

Rationale and Objectives. The authors investigated how training and experience affect the
performance of observers searching mammograms for breast masses. Methods. Eye …

Humans can extract considerable information from scenes, even when these are presented
extremely quickly. The ability of an experienced radiologist to rapidly detect an abnormality …

We examined how visual sensitivity and perception are affected by adaptation to the
characteristic amplitude spectra of X-ray mammography images. Because of the …

RATIONALE AND OBJECTIVES: Radiologists do not decide whether to report or to dismiss
a perceived finding based solely on the conspicuity of the finding itself, but rather, they …

Previously we have shown that the eyes of expert breast imagers are attracted to the
location of a malignant mass in a mammogram in less than 2 seconds after image onset …

Cancer diagnosis frequently relies on the interpretation of medical images such as chest X-
rays and mammography. This process is error prone; misdiagnoses can reach a rate of 15 …

The visual environment contains predictable information-“statistical regularities”-that can be
used to aid perception and attentional allocation. Here we investigate the role of statistical …

We investigate human performance for visually detecting simulated microcalcifications and
tumors embedded in x‐ray mammograms as a function of signal contrast and the number of …