The application discloses a
prostate cancer lesion-based intelligent diagnosis auxiliary method and
system and a storage medium, relates to the tumor treatment
data processing technical field, and comprises the following steps: acquiring current patient case data and image data of a
lesion site; searching for and acquiring
reference image data sets, statistically analyzing the probability of the
lesion tissue appearing at different positions in space based on the
reference image data sets, and generating a probability distribution graph of the lesion tissue; calculating and generating a
radiation dose distribution graph of the three-dimensional space of the current lesion area according to particle
implantation site coordinates; and determining implantation coordinates of superimposed particles according to the probability distribution graph and the
radiation dose distribution graph, and marking the implantation coordinates in the image data of the current patient. Through the above scheme, the implantation coordinates of the superimposed particles are determined, the implantation positions of the
radioactive particles are more suitable for the distribution of the lesion tissue, the
cancer cells of the lesion tissue are killed, the spread of the
cancer cells is slowed down or even blocked, and the
treatment effect is improved.