The invention relates to a
disease diagnosis and treatment method,
system and device based on ear-
nose-
throat endoscope images and a medium, and the method comprises the steps: synchronously collecting dual-spectrum images through
time sequence triggering, and solving the problem of shielding of an anatomical structure caused by
mucus flow; a dynamic
mucus displacement field is modeled through pixel gradient, and misjudgment of a traditional segmentation method on static lesions and dynamic secretions is eliminated; a deformable convolutional layer is adopted to correct the spatial offset of
white light and a narrow-band image, and the mismatch of a multi-mode characteristic due to optical scattering is overcome; and finally, a real-time surgical navigation mark and a
clinical treatment scheme are synchronously generated based on topological attributes of the focus probability graph, and a closed-loop link from
image analysis to diagnosis and treatment decision is realized. According to the method, the functions of
mucus interference suppression, cross-
modal accurate registration and real-time diagnosis and treatment assistance are integrated in a breakthrough manner, and the focus recognition accuracy and clinical operation efficiency of the
endoscope image are remarkably improved.