A medical scan triaging system is operable to train a computer vision model and to generate abnormality data indicating abnormality probabilities for medical scans via the computer vision model. A first subset of medical scans is determined by identifying medical scans with abnormality probabilities greater than a first probability value of a triage probability threshold. A second subset of medical scans is determined by identifying medical scans with abnormality probabilities less than the first probability value. An updated first subset of medical scans is determined by identifying medical scans with abnormality probabilities greater than a second probability value of an updated triage probability threshold. An updated second subset of the plurality of medical scans is determined by identifying medical scans with a abnormality probabilities less than the second probability value. The updated first subset of medical scans is transmitted to client devices.

An artificial replacement disk assembly comprised of a core in between two endplates. The endplates have outer surfaces that match the surface morphologies of the corresponding vertebral endplates. The endplates may have textured inner surface to form a strong fusion with the core during the fabrication process. The thick solid endplates strongly fused to the core create a very resilient implant. Gripping structures on the endplates may permit easy manipulation of the assembly during surgical procedures.

A back illuminated sensor preferably is included as a collector component of a detector for use in intraoral and extraoral 2D and 3D dental radiography, positron emission tomography (PET) and single-photon emission computed tomography (SPECT). The disclosed imaging method includes one or more intraoral or extraoral emitters for emitting a low-dose gamma ray or x-ray beam through a dental examination area; and one or more intraoral or extraoral detectors for receiving the beam, each detector including a back illuminated sensor. Within the detector, the beam preferably is converted into light and then focused and collected at a photocathode layer without passing through the wiring layer of the back illuminated sensor.

A method of producing a patient-specific bone plate, the method comprising: (a) generating a virtual 3D patient-specific reconstructed bone model from a plurality of virtual 3D bone component part models, the plurality of virtual 3D bone component part models being associated with a respective plurality of bone component parts of a bone of a patient; (b) selecting a bone plate template most closely resembling the virtual 3D patient-specific reconstructed bone model; (c) generating a tangible 3D patient-specific reconstructed bone model from the virtual 3D patient-specific reconstructed bone model; (e) obtaining a tangible bone plate template associated with the selected bone plate template most closely resembling the virtual 3D patient-specific reconstructed bone model; and (f) forming a patient-specific bone plate by conforming the tangible bone plate template to the tangible 3D patient-specific reconstructed bone model.

An image processing apparatus obtains segment definition information that defines a plurality of segments obtained by dividing a human body along a body axis, and obtains a three-dimensional image including a plurality of slice images indicating cross sections of a subject. The image processing apparatus identifies, based on the segment definition information, a segment to which a cross section corresponding to at least one slice image among the slice images included in the image belongs, and calculates a coordinate value of the at least one slice image, based on the identified segment and a reference coordinate system in which a coordinate value is defined for each of the segments.

A medical imaging system includes a collimator having a plurality of collimator parts configured to filter radiation emitted from a target object; a detector base; and a detector having a plurality of detector tiles, configured to acquire an image of the target object by detecting radiation that has passed through the plurality of collimator parts, wherein at least one of the plurality of detector tiles is tilted with respect to the detector base.

A borderline extraction element 15 extracts a borderline B of adjacent vertebrae from an X-ray image on which multiple vertebrae are projected connected in a line. A vertebral area setting element 17 sets a area sandwiched by the adjacent borderlines B as a vertebral area and an area number is put to the respective vertebral areas L. When the vertebral areas are erroneously set up, a setup data erase element 21 erases the data of the vertebral areas L and the area number when the borderline is corrected. The setup data are erased, so that the borderline B can be shift-corrected to any location. A vertebral area setting element 17 resets the vertebral area L based on the location of the corrected borderline. Accordingly, the respective vertebral areas L are set up to the accurate locations and only the borderline B extracted to the wrong location is shift-corrected and the vertebral areas are reset. The work-burden to the operator for setting the vertebral area can be largely lessened.

Methods and systems are described which allow a classification of first and second objects in an X-ray projection image. A respective representation and localization of both objects are determined by applying the models to match the objects in the X-ray image and a spatial relation of the classified objects is obtained. Such methods and systems take advantage of artificial intelligence.

A composition information obtaining unit calculates a mammary gland/fat ratio and a first information obtaining unit obtains imaged contrast information representing a contrast of the radiation image. A second information obtaining unit sets target application condition of X-ray, and obtains target contrast information representing an intended contrast for the radiation image based on the intended application condition. A contrast correction amount determination unit determines a contrast correction amount based on the imaged contrast information and the target contrast information. An image processing unit performs image processing, including gradation processing based on the determined contrast correction amount, on the radiation image, and obtains a processed radiation image.

A computer implemented method for performing bone segmentation in imaging data of a section of a body structure is provided. The method includes: Obtaining the imaging data including a plurality of 2D images of the section of the body structure; and performing a multiphase local-based hybrid level set segmentation on at least a subset of the plurality of 2D images by minimizing an energy functional including a local-based edge term and a local-based region term computed locally inside a local neighborhood centered at each pixel of each one of the 2D images on which the multiphase local-based hybrid level set segmentation is performed, the local neighborhood being defined by a Gaussian kernel whose size is determined by a scale parameter (σ).