The invention provides a comparison
detector and a building method as well as a
cervical cancer cell detection method. The method applying the comparison
detector to detect
cervical cancer cell comprises the following steps that firstly, a class
reference sample is selected by applying a t-SNE (t-distributedstochastic neighbor embedding)
visualization method, and then the features of the class
reference sample and a target detection image are extracted by applying a
feature extraction network which is composed of a basic
convolution network and a
pyramid convolution network in the comparison
detector; the extracted feature of the
reference sample is processed by applying a reference
sample processing module so as to obtain prototype expression of each class; a recommended region is obtained by applying a region recommending module, and features are obtained from a corresponding feature
pyramid; and finally, the class of the recommended region is obtained by comparing the
pyramid feature of the recommended region and the prototype expression of class, and
fine tuning is conducted on the rectangular frame by utilizing the features of a candidate region. The method builds a target detection network which detects targets on
small data sets, and can relieve the
overfitting problem of the target detection
network on the
small data sets.