The invention provides a technology for promptly determining bacterial identification or an antimicrobial susceptibility testing. In the invention, first, a state where the bacteria are divided is monitored by performing microscopic observation with respect to the shape or the number of bacteria in each of wells of a culture plate for bacterial identification culture or the antimicrobial susceptibility testing. In addition, the shape, the number or the area of the bacteria are interpreted from the image obtained by the microscopic observation whether or not the bacteria proliferate at a stage from an induction phase to a logarithmic phase, and the time-dependent changes thereof are made into a graph. From the graph, it is determined whether or not the bacteria proliferate for each measurement, the determination results are displayed on the screen, and accordingly, the result of the antimicrobial susceptibility is provided every time when the measurement is performed.

An image is created to visualize the efficacy of treatment to a fundus.

An image processing method includes extracting a first frame from a first moving image of an examined eye and extracting a second frame from a second moving image of the examined eye, and comparing the first frame against the second frame.

Data is computed in order to visualize the velocity of blood fluid flowing through a blood vessel at a fundus. An image processing method includes a step of performing registration of each frame in a moving image configured by plural frames of an imaged fundus, and a step of computing visualization data enabling visualization of a state of blood fluid flowing through a blood vessel at the fundus based on a pixel value in each of the registered frames.

A feature information acquisition unit acquires the first feature information on the first medical image and second feature information on the second medical image having an imaging time different from an imaging time of the first medical image. A sentence creation unit compares the first feature information and the second feature information generated by the feature information acquisition unit, and creates a sentence representing a change between the first medical image and the second medical image. A display control unit causes the display unit to display a sentence representing a change.

There is provided a medical imaging processing device, comprising: at least one hardware processor executing a code for: iteratively generating instructions for iterative adjustment of presentation parameter(s) of a 2D frame of the 3D anatomical image presented on the display, for creating a sequence of adapted 2D frames of the 3D anatomical image, the instructions transmitted from the medical imaging processing device to a physical input interface of at least one of the client terminal and display, for each respective 2D frame: capturing the respective 2D frame from video signals transmitted from the client terminal to the display, analyzing the respective captured 2D frame for extraction of a 2D anatomical image, analyzing the respective captured 2D frame to identify metadata element(s), converting the metadata element(s) into converted metadata value(s), and formatting the extracted 2D anatomical images and associated converted metadata values for reconstruction of the 3D anatomical image.

An information processing apparatus comprises: a processor configured to execute a program; and a storage device configured to store the program, the processor being configured to execute: obtaining processing of obtaining a diagnosis result of both eyes; generation processing of generating diagnosis result display information including a scale indicating a plurality of degrees of progresses related to a symptom, a first index indicating a degree of progress of a right eye based on a diagnosis result of the right eye, and a second index indicating a degree of progress of a left eye based on a diagnosis result of the left eye; and output processing of outputting the diagnosis result display information generated by the generation processing.

A system and method for analysis of complex spatio-temporal data utilize complimentary general approaches to data analysis: information field theory (IFT), which reformulates Bayesian theory in terms of field theory in order to incorporate the important and often overlooked conditions that ensure continuity of underlying parameter spaces that are to be estimated from discrete data, and entropy spectrum pathways (ESP), which uses the principle of maximum entropy to incorporate prior information on the structure of the underlying space in order to estimate measures of connectivity.

A computer-based diagnostic system includes an image generation unit adapted to generate tomographic images of a patient's organ; a deep machine learning unit configured to process generated tomographic images of the patient's organ to classify organ regions of diseased functional tissue of the patient's organ as belonging to one of a set of abnormal image patterns using trained deep neural networks; and a clinical decision support unit adapted to process classification results of the deep machine learning unit to calculate a diagnostic result output via an interface of the clinical decision support unit.

A method for capturing a high-quality cardiac plethysmography signal automatically and seamlessly using the video cameras embedded in personal electronic devices, includes a program running in the background that periodically takes a picture of the person using the device, runs face detection and/or recognition algorithm, and upon detection of a face, records a video, and then processes the video using algorithms to assess video quality by extracting video quality parameters. When video quality parameters are above predefined thresholds, the recorded video is processed further to generate a plethysmography signal indicative of cardiac activity. The plethysmography signal may then be processed to deduce cardiac activity. The method maintains a pleasurable user experience with the personal electronic devices.

In one embodiment, an MRI apparatus includes a memory storing a predetermined program and processing circuitry. The processing circuitry is configured, by executing the predetermined program, to generate a first image having a first phase affected by susceptibility, generate a second image having a second phase affected by both of the susceptibility and flow, and distinguish difference in susceptibility or flow for a pixel of a third image by using the first phase and the second phase or by using a value calculated from the first phase and a value calculated from the first phase, the third image having regions which are substantially same in contrast.