The application discloses a method for stereoscopic reconstruction and
visualization of nasal polyp tissue based on
artificial intelligence recognition of continuous
pathological sections, which comprises the following steps: strict continuous section of a reconstruction object; HE
staining of the continuous sections; affine registration of the continuous
pathological sections; one-by-one analysis of the registered continuous
pathological sections; stacking according to the registration sequence, then
processing, to obtain three-dimensional model data of the nasal polyp tissue structure; and visual rendering of the three-dimensional model data of the nasal polyp tissue structure, combined with a preliminary stereoscopic model, to obtain a final stereoscopic model of the nasal polyp tissue structure. The method can reconstruct and visualize the nasal polyp tissue, and can show the three-dimensional structure of the distribution characteristics of inflammatory cells and tissue structure of the nasal polyp in the
spatial structure, so that the morphological structure content of the nasal polyp tissue is enriched, and morphological basis is provided for further exploring the occurrence and development mechanism of
chronic rhinosinusitis with
nasal polyps.