The invention provides an automatic
pathological section labeling method based on a viewpoint tracking technology. The method is applied to a
computer device and comprises the following steps: receiving an instruction for acquiring a
pathological section; when a subject observes the
pathological section, viewpoint track information of the subject is collected in real time through an eye tracker, and voice information of the subject during pathological section observation is collected in real time through a
microphone; generating a viewpoint track information image of the subject corresponding to the pathological section in real
time based on the viewpoint track information, and generating a corresponding text
label in real
time based on the voice information; automatically identifying a focusing area in the viewpoint track information image through a density clustering
algorithm; generating a pathological section initial labeling box based on the focusing area; adjusting the size of the initial labeling box in real time to generate a
final labeling box; and binding the text labels with the corresponding
final labeling boxes one by one. According to the method, the viewpoint track information of the subject is captured, the high-quality pathological
annotation is automatically generated, and man-
machine collaborative
annotation is achieved.