The invention discloses a
pulmonary nodule real-time positioning method and a
pulmonary nodule real-time positioning device based on
artificial intelligence multi-
modal image fusion technology applied to a sub-pulmonary lobe resection operation, which are applied to the technical field of
data processing, a three-dimensional collapsed
lung model is generated by acquiring a
lung medical image and a three-dimensional model in combination with operation parameters, and features of the three-dimensional collapsed
lung model are automatically identified.
Endoscope dynamic images are collected in real time in an operation, and the three-dimensional collapse lung model is finely adjusted after image features are extracted, so that the three-dimensional collapse lung model is accurately matched with an actual
lung tissue form in the operation. By means of the
artificial intelligence multi-mode
image fusion technology, the
endoscope image and the three-dimensional model are deeply fused, and the lung three-dimensional structure and the accurate
pulmonary nodule position under the
endoscope view field are presented in real time. By integrating
artificial intelligence,
computer vision, a collapse
algorithm and a multi-
modal image fusion technology, a doctor is assisted to clearly identify
lung tissue and nodule positions in an operation, the accuracy of the operation is effectively improved, the
operation time is shortened, and the operation is safely completed with high quality.