The application relates to the technical field of medical
image database, and discloses a standardized
cervical cancer pathological image database construction method, which comprises the following steps: step 1, specimen number is hashed to obtain pseudo-anonymous specimen number, unique slice identification and
cell-level unique identification are generated; step 2, a unified reference
system is established, the reference layer pixel spacing, the down-sampling multiple and the
coordinate mapping are determined; step 3, the image is converted into an
optical density space and normalized according to a target
staining base to obtain a standardized image; step 4, cross-
modal anchor point lists are established by manually comparing cytological and histological images; step 5, a hierarchical
label set is generated by synthesizing multi-level unique labels according to the severity full sequence; step 6, the intersection-over-union index and the kappa consistency value are calculated according to the combination key, and a review to-do
list is generated; step 7, point review and rule revision are carried out, and a
data dictionary, a consistency report and an
anchor point snapshot are output. The application realizes the standardized
database construction and traceable
quality control of
cervical cancer cytological and histological
pathological images.