The invention relates to the technical field of medical
image processing, in particular to a
general surgery department acute abdominal
disease operation planning system based on AI
image analysis, which comprises an image
data acquisition module, a focus
feature extraction module, an
ischemia analysis module, an operation scheme construction module and a diagnosis result generation module. According to the method, uniform expression of multi-
source data in space is guaranteed through
numerical fitting and registration of an
image sequence, multi-angle extraction of
pathological features is achieved by combining quantitative indexes such as intestinal wall thickness, orifice expansion and hydrops density, and systematic marks are formed through
deep learning feature fusion. A potential ischemic area can be quickly identified under the condition of complex abdominal
lesion, accurate definition of a
lesion range is realized by utilizing
perfusion indexes and continuous section screening, and a relationship between
lesion length and
anatomical space is further calculated, so that a quantitative basis is provided for an operation excision range and an
anastomosis condition; deviation caused by subjective judgment is reduced, and the pertinence and the executability of a treatment scheme are improved.