Lung area pneumoconiosis staging system based on combination of deep learning and digital images

The invention provides a lung area pneumoconiosis staging device and system based on deep learning and digital image combination. The system comprises an image data access module used for acquiring data of an original image; the lung region sub-region segmentation module is used for respectively dividing the left and right lung regions into upper, middle and lower sub-regions; the contrast enhancement module is used for performing histogram equalization on the original image; the dark channel calculation module is used for calculating dark channels of the sub-lung areas; the dark channel difference value feature extraction module is used for acquiring a difference value between a dark channel and an input image so as to more accurately extract features of lung dust flocs; the sub-lung region feature extraction module is used for extracting features of the equalized lung region; the double-branch feature fusion module is used for fusing the dark channel difference features and the corresponding sub-lung region