Abstract: A data synchronization method for a host machine and a backup machine of a station application server includes the following steps: receiving initial data sent by the host machine and storing the initial data in a backup machine local file by the backup machine to realize data synchronization between the host machine and the backup machine in an initial state after establishing a communication between the host machine and the backup machine; and receiving message data sent by a station terminal device in real time and storing the message data in a host machine local file, then sending the message data to the backup machine by way of polling, and receiving the message data and storing the message data in the backup machine local file by the backup machine to realize data synchronization between the host machine and the backup machine.

Abstract: A method, applied to an apparatus for mammographic multi-view mass identification, includes receiving a main image, a first auxiliary image, and a second auxiliary image. The main image and the first auxiliary image are images of a breast of a person, and the second auxiliary image is an image of another breast of the person. The method further includes detecting the nipple location based on the main image and the first auxiliary image; generating a first probability map of the main image based on the main image, the first auxiliary image, and the nipple location; generating a second probability map of the main image based on the main image, the second auxiliary image, and the nipple location; and generating and outputting a fused probability map based on the first probability map and the second probability map.

Abstract: A method, applied to an apparatus for mammographic multi-view mass identification, includes receiving a main image, a first auxiliary image, and a second auxiliary image. The main image and the first auxiliary image are images of a breast of a person, and the second auxiliary image is an image of another breast of the person. The method further includes detecting the nipple location based on the main image and the first auxiliary image; generating a first probability map of the main image based on the main image, the first auxiliary image, and the nipple location; generating a second probability map of the main image based on the main image, the second auxiliary image, and the nipple location; and generating and outputting a fused probability map based on the first probability map and the second probability map.