The invention relates to the technical field of medical
image processing, in particular to a tumor development
analysis method and
system based on image recognition. The method comprises the following steps: acquiring a multi-temporal tumor image
data set, analyzing the multi-temporal tumor image
data set, and determining spatial probabilistic
boundary representation information; according to the spatial probabilistic
boundary representation information, performing multi-dimensional
feature fusion analysis on the tumor boundary, and determining tumor development situation feature information; performing analogue
simulation on the tumor development situation according to the tumor development situation feature information, and determining tumor development risk information; and analyzing the tumor development risk information, and determining and outputting dynamic follow-up visit suggestion information. According to the method and the device, the spatial probabilistic
boundary representation information is constructed, so that the misjudgment on the tumor boundary caused by binarization decision due to the forced closed contour tendency of an image
recognition algorithm is avoided, the boundary illusion generated when the tumor boundary is analyzed in the prior art is effectively eliminated, and the evaluation accuracy of the tumor development situation is improved.