Abstract: Prediction of an affinity between a drug and a target is disclosed. The drug and the target for interacting with the drug are acquired. An interaction is caused between the drug and the target to determine the compound. Topological structure graphs for labeling spatial characteristics of atoms in the compound are computed. An affinity between the drug and the target based on the topological structure graphs is determined.

Abstract: Embodiments of the disclosure provide a method, apparatus, and device for data processing. The method comprises: obtaining data of at least two different modalities, the data comprising at least first data and second data, the first data and second stored in respective data sources; determining an overlapping keyword correlating the first data and the second data by analyzing textual descriptions associated with the first data and second data and identifying the overlapping keyword as appearing in a textual description of the first data and in a textual description of the second data; and storing the first data and the second data in an associative manner based on the overlapping keyword, the associative manner generated using the overlapping keyword.

Abstract: The present application discloses a method, device, and system for processing a medical image. The method includes obtaining a source spinal image, identifying one or more vertebral bodies and one or more intervertebral discs comprised in the source spinal image, determining the vertebral body recognition results corresponding to the one or more vertebral bodies and the intervertebral disc recognition results corresponding to the one or more intervertebral discs, and determining target recognition results corresponding to the source spinal image based at least in part one on one or more of the vertebral body recognition results and the intervertebral disc recognition results.

Abstract: Embodiments of the disclosure provide methods, apparatuses, and computer-readable media for generating image reports. In one embodiment, the method includes: obtaining an image to be analyzed; determining at least one reference image corresponding to the image to be analyzed, the at least one reference image corresponding to a respective reference image report; and generating, based on the reference image report, an image report corresponding to the image to be analyzed. In the method for generating an image report provided by the embodiments, by obtaining an image to be analyzed is obtained, at least one reference image corresponding to the image to be analyzed is determined; and an image report corresponding to the image to be analyzed is generated based on a respective reference image report corresponding to the at least one reference image.

Abstract: Prediction of an affinity between a drug and a target is disclosed. The drug and the target for interacting with the drug are acquired. An interaction is caused between the drug and the target to determine the compound. Topological structure graphs for labeling spatial characteristics of atoms in the compound are computed. An affinity between the drug and the target based on the topological structure graphs is determined.

Abstract: The present application discloses a method, device, and system for processing a medical image. The method includes obtaining a source spinal image, identifying one or more vertebral bodies and one or more intervertebral discs comprised in the source spinal image, determining the vertebral body recognition results corresponding to the one or more vertebral bodies and the intervertebral disc recognition results corresponding to the one or more intervertebral discs, and determining target recognition results corresponding to the source spinal image based at least in part one on one or more of the vertebral body recognition results and the intervertebral disc recognition results.

Abstract: Various techniques are provided for generating reports of three dimensional (3D) images. The techniques include identifying a plurality of volume features in a 3D image using a first machine learning (ML) module trained with annotated 3D images, and identifying a plurality of semantic representations associated with the 3D image using a second ML module trained with the annotated 3D images and reports associated with the annotated 3D images. The techniques further include generating a report of the 3D image based on the volume features and the semantic representations using a third ML module trained with the reports and outputs generated by the first ML module and the second ML module using the annotated 3D images and the reports.

Abstract: Embodiments of the disclosure provide methods, apparatuses, and computer-readable media for generating image reports. In one embodiment, the method includes: obtaining an image to be analyzed; determining at least one reference image corresponding to the image to be analyzed, the at least one reference image corresponding to a respective reference image report; and generating, based on the reference image report, an image report corresponding to the image to be analyzed. In the method for generating an image report provided by the embodiments, by obtaining an image to be analyzed is obtained, at least one reference image corresponding to the image to be analyzed is determined; and an image report corresponding to the image to be analyzed is generated based on a respective reference image report corresponding to the at least one reference image.

Abstract: Embodiments of the disclosure provide a method, apparatus, and device for data processing. The method comprises: obtaining data of at least two different modalities, the data comprising at least first data and second data, the first data and second stored in respective data sources; determining an overlapping keyword correlating the first data and the second data by analyzing textual descriptions associated with the first data and second data and identifying the overlapping keyword as appearing in a textual description of the first data and in a textual description of the second data; and storing the first data and the second data in an associative manner based on the overlapping keyword, the associative manner generated using the overlapping keyword.

Abstract: Various techniques are provided for generating reports of three dimensional (3D) images. The techniques include identifying a plurality of volume features in a 3D image using a first machine learning (ML) module trained with annotated 3D images, and identifying a plurality of semantic representations associated with the 3D image using a second ML module trained with the annotated 3D images and reports associated with the annotated 3D images. The techniques further include generating a report of the 3D image based on the volume features and the semantic representations using a third ML module trained with the reports and outputs generated by the first ML module and the second ML module using the annotated 3D images and the reports.

Abstract: A method includes: determining a first neural network model; inputting an image to be processed containing a lung image to the first neural network model to obtain a lung lobe segmentation result of the image to be processed; wherein the first network layer in the first neural network model is configured to add an additional channel with coordinate information to input data input to the first network layer, and to determine output data of the first network layer based on the input data after the additional channel is added thereto.

Abstract: Embodiments can provide a method for atlas-based contouring, comprising constructing a relevant atlas database; selecting one or more optimal atlases from the relevant atlas database; propagating one or more atlases; fusing the one or more atlases; and assessing the quality of one or more propagated contours.

Abstract: Embodiments can provide a method for atlas-based contouring, comprising constructing a relevant atlas database; selecting one or more optimal atlases from the relevant atlas database; propagating one or more atlases; fusing the one or more atlases; and assessing the quality of one or more propagated contours.

Abstract: The present invention provides a portable diagnostic apparatus for capturing a medical image. The apparatus includes a cavity for accommodating a medical specimen to be detected, a white light source, and multiple digital camera units for photographing the specimen to be detected. The camera units each include optics with positive refractive power and an image sensor smaller than ? inches. The portable diagnostic apparatus can detect a change in color according to a captured digital image. The diagnostic apparatus can capture images of multiple reaction areas of a medical specimen at a time and in addition, the diagnostic apparatus is small in size and low in cost, captures images of high quality, and can provide more detailed information of the medical specimen being detected.