The invention discloses an intelligent bronchial
endoscope focus detection method,
computer equipment and a storage medium. The intelligent bronchial
endoscope focus detection method comprises the steps that real, reliable and diversified bronchial
endoscope examination images are collected; through data preprocessing, labeling and data division, a bronchial focus detection
data set is constructed; an efficient bronchial focus detection network is constructed, and improvement is carried out through multiple attention mechanisms and a
convolution module; designing a
loss function and training the network to obtain an optimized bronchial focus detection model; and performing focus detection on the acquired image in the real-time
bronchoscopy video, and displaying a result. Based on the
deep learning technology, the deep neural
network model is trained to carry out precise focus type detection on the bronchial endoscope image, real-time bronchial
lesion prompt information is provided for endoscope operators, the
lesion omission problem during bronchial
lesion examination is effectively relieved, the
bronchoscopy process is standardized, the endoscope examination quality is improved, and the bronchial
lesion detection efficiency is improved. And the
workload of operators is reduced.