Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament (MCL) posterior cruciate ligament (PCL), or patellar tendon attaches to the tibia may be identified. The systems, devices, and methods allow for tracing of an anatomical landmark to generate a 3-D marking on a 3-D surface model of a patient's bone. The attachment points may be useful landmarks for patient-matched instrumentation.

The present disclosure discloses a method and apparatus for analyzing medical image. A specific embodiment of the method includes: acquiring medical image data; generating multi-scale decision sample data based on the medical image data; inputting the multi-scale decision sample data into a deep neural network model to obtain an auxiliary diagnosis data of the medical image, the deep neural network model being trained according to a consistency principle between multi-scale training sample data and an output result of the deep neural network model. In the embodiment, a multi-scale training sample is used to accelerate the training process of the deep neural network model, thus the auxiliary diagnosis decision process can be accelerated, while the accuracy of the trained deep neural network model of the embodiment is improved according to a consistency principle of data between different scales and output results, thereby improving the accuracy of auxiliary diagnosis decision.

Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament (MCL) posterior cruciate ligament (PCL), or patellar tendon attaches to the tibia may be identified. The systems, devices, and methods allow for tracing of an anatomical landmark to generate a 3-D marking on a 3-D surface model of a patient's bone. The attachment points may be useful landmarks for patient-matched instrumentation.

Computer-implemented enhanced invasive imaging methods, systems, and computer-readable media are described.

Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament (MCL) posterior cruciate ligament (PCL), or patellar tendon attaches to the tibia may be identified. The systems, devices, and methods allow for tracing of an anatomical landmark to generate a 3-D marking on a 3-D surface model of a patient's bone. The attachment points may be useful landmarks for patient-matched instrumentation.

Devices and methods are presented for managing data security. One example method includes receiving user identification information from a screen of a device that is connectable to a database of secure information. The method includes authenticating the user identification information, the authenticating includes capturing image data of a user associated with the user identification information. The method provides access to the database of secure information upon authenticating the user identification information. The method records data of user interactive input and viewed images displayed on the screen while the access provided. The method stores audit data for the user when accessing the database of secure information, the audit data being associated with a history of use by the user. The audit data including a plurality of events associated with the use. The method enables replay of the audit data for at least one of the plurality of events associated with the use.

An imaging system includes: an optical system configured to form a subject image; a driver configured to drive the optical system; an imaging element configured to capture the subject image and generate image data; and a processor configured to control the imaging element and the driver. The imaging element includes: a first imaging portion configured to capture an image of a first light beam that travels through a first optical path in the optical system; a second imaging portion configured to capture an image of a second light beam that travels through a second optical path shorter than the first optical path; and plural phase difference pixels for phase difference autofocus, the plural phase difference pixels being arranged in at least one of the first imaging portion and the second imaging portion, the plural phase difference pixels being configured to output phase difference signals.

A method for converting measured data of at least one source measurement modality into realistic measured data of at least one target measurement modality. The method includes: the measured data of the source measurement modality are mapped onto representations in a latent space using an encoder of a trained encoder-decoder arrangement, and the representations are mapped onto the realistic measured data of the target measurement modality using the decoder of the encoder-decoder arrangement, the amount of information of the representations of measured data in the latent space being smaller than the amount of information of the measured data.

An image processing method is provided. The method includes acquiring image data; obtaining a page pixel average value of the image data; acquiring image processing parameters based on the page pixel average value; obtaining a pixel processing threshold by a calculation based on at least a first portion of the image processing parameters; based on the pixel processing threshold, adjusting a pixel value of a current pixel of the image data by using at least a second portion of the image processing parameters; and outputting an adjusted image according to the adjusted pixel value of the current pixel of the image data.

An apparatus for a pancake lens with integration accommodation may include a beamsplitter, a first lens, a reflective polarizer, and a second lens, where the second lens includes at least one planar module embedded within the second lens. Other apparatuses, systems, and methods are also disclosed.