Abstract: A method for automatic optical inspection (AOI) includes (i) obtaining an image of an inspected component of a first domain, (ii) inputting the image of the inspected component into an inspection model, the inspection model comprising a generic feature extraction sub-model and at least one task inspection sub-model associated with a particular AOI task of the first domain, (iii) generating, by the generic feature extraction sub-model, a first feature representation of the image based on the image of the inspected component, and (iv) generating, by the at least one task inspection sub-model, at least one inspection result associated with the particular AOI task of the first domain based on the first feature representation of the image.

Abstract: Embodiments of the present application provide a vascular plaque extraction apparatus and method. The method includes: acquiring a computed tomography angiography (CTA) image; performing preprocessing on the CTA image; performing a vascular lumen segmentation on the preprocessed CTA image to obtain a vascular lumen image; performing a dilation operation on the vascular lumen image to obtain a dilated region of interest (ROI), and performing a voxel-based radiomics feature extraction on the dilated ROI to obtain at least one voxel feature map; and extracting vascular plaques based on a preset threshold corresponding to the at least one voxel feature map and the at least one voxel feature map. According to the embodiments of the present application, the vascular plaques can be quickly and accurately extracted from the CTA image, providing a reference for an accurate quantitative analysis and auxiliary diagnosis and treatment.