Abstract: A three-dimensional reconstruction system and a three-dimensional reconstruction method, the system includes: a carrier device which includes a rotatable support and a carrier arranged on the rotatable support, the rotatable support is provided with a rotational axis; a data acquisition device spaced apart from the carrier and configured to collect reflective light data of an object on the carrier when the rotatable support rotates to a corresponding angle and to obtain single-visual-angle data of the object at the corresponding angle; and a data processing device connected with the data acquisition device and configured to perform three-dimensional reconstruction according to the single-visual-angle data and a reconstruction algorithm.

Abstract: This invention discloses an auxiliary diagnostic model and an image processing method for detecting acute ischemic stroke. This refers to the technical field of medical image processing. The technical essentials are described as follow: the presented deep-learning model is based on generative adversarial networks (GANs), comprising a generator (G) and a discriminator (D). G is the first three-dimensional convolutional neural network, used to synthesize realistic images from raw data, while D is the second three-dimensional convolutional neural network, used to classify images as real or fake (synthetic). The presented GAN model can learn the mapping relationship from non-enhanced computed tomography (NECT) images to T2-weighted fluid-attenuation inversion recovery (FLAIR) magnetic resonance imaging (MRI), then converting the raw CT to synthetic FLAIR with high sensitivity.

Abstract: A dual-modality nanoprobe targeting glioblastoma and preparation method thereof are described. The dual-modality nanoprobe of the present disclosure comprises DSPE-PEG(2000)-Amine, superparamagnetic iron oxide nanoparticles (SPIONs), Cy7-NHS molecule, targeting polypeptide and/or trans-mirror structure (i.e., enantiomer) thereof. The dual-modality nanoprobe can integrate the advantages of magnetic resonance and fluorescence imaging and thus provide clearer anatomical structure information of brain tumors; in the imaging process, the dual-modality nanoprobe can not only provide clearer image results, but also can specifically identify target sites. Also, the dual-modality nanoprobe of the present disclosure also has good in vivo stability.

Abstract: A three-dimensional reconstruction system and a three-dimensional reconstruction method, the system includes: a carrier device which includes a rotatable support and a carrier arranged on the rotatable support, the rotatable support is provided with a rotational axis; a data acquisition device spaced apart from the carrier and configured to collect reflective light data of an object on the carrier when the rotatable support rotates to a corresponding angle and to obtain single-visual-angle data of the object at the corresponding angle; and a data processing device connected with the data acquisition device and configured to perform three-dimensional reconstruction according to the single-visual-angle data and a reconstruction algorithm.

Abstract: A method and system for file type identifying and analyzing, are high in processing efficiency and accuracy, simple in parameter configuring and speedy in analyzing. The method for file type identifying and analyzing is a method for identifying file type read from a database and making an analysis, including the following steps: a loading step for loading file type and file format parameters into a memory; a file reading step for reading files from the memory; a file type identifying step for determining whether the read files are of the file type that can be identified by the memory; a file analyzing step for analyzing files and generating an analysis report in the event that the file type can be identified. The time required for file analysis can be effectively shortened and the accuracy of file identifying and analyzing can be ensured.

Abstract: The invention provides a method and system for file type identifying and analyzing, which is high in processing efficiency and accuracy, simple in parameter configuring and speedy in analyzing. The method for file type identifying and analyzing is a method for identifying file type read from a database and making an analysis, characterized by comprising the following step: a loading step for loading file categories and file format parameters into a memory; a file reading step for reading files from the memory; a file type identifying step for determining whether the read files are of the file type that can be identified by the memory; a file analyzing step for analyzing files and generating an analysis report in the event that the file type can be identified. With the invention, the time required for file analysis can be effectively shortened and the accuracy of file identifying and analyzing can be ensured.