Abstract: A mobile phone-based miniature microscopic image acquisition device, and image stitching and recognition methods are provided. The acquisition device comprises a support, wherein a mobile phone fixing table is provided on the support. A microscope head is provided below a camera of a mobile phone. A slide holder is provided below the microscope head, and an lighting source is provided below the slide holder. A scanning movement is performed between the slide holder and the microscope head along X and Y axes, so that images of a slide are acquired into the mobile phone. The slide sample images acquired into the mobile phone can be stitched and recognized, and can be uploaded to the cloud to be processed by cloud AI, thereby significantly improving the accuracy and efficiency of cell recognition, greatly reducing the medical cost, and ensuring more remote medical institutions can apply such technology for diagnosis.

Abstract: An artificial intelligence cloud diagnosis platform is provided. A subject sample is scanned to a cloud side, AI on the cloud conducts preliminary detection, and then a doctor carries out diagnosis and rechecking. The artificial intelligence cloud diagnosis improves the diagnosis accuracy, fundamentally solves the problems of insufficient technical experts and non-uniform medical resource distribution in remote areas, greatly improves the diagnosis efficiency, reduces the diagnosis cost, establishes a professional database of the same type of detection samples, and is beneficial to the further research of a disease in the later period.