Methods and apparatus to adapt medical imaging interfaces based on learning are disclosed. An example apparatus includes a use monitor to monitor, in a first session, user actions and medical content data pertaining to operation of a clinical image display, a learning device including a processor to implement a learning network to develop a model for a subsequent session based on the user actions in relationship to a context of the medical content data. The model developed by defining contextual patterns of the user actions based on the context and the medical content data. The learning device is to update, prior to or during a second session subsequent the first session, a user interface based on the model.

A method and system based on the image processing technology and robotic technologies are used for planning and evaluating the processes of the hair transplant operations. This method allows a rapid detection of the follicle, the hair number in each follicle and the hair thickness on the images obtained by the scanning of the scalp of the patient before the operation through the image processing technology. Considering these data, Coverage Value calculation is automatically carried out; maximum hair number to be harvested in each area is automatically analyzed and calculated. As a result, more reliable and healthy results relative to the present operations are obtained for evaluating the whole operational process through the systematic data, and a system facilitating the method is applied.

An image processing apparatus includes an acquisition unit configured to acquire a tomographic image of at least a retina and a vitreous body of a subject's eye, and a detection unit configured to detect, based on an intensity value of the tomographic image, an outer edge of the vitreous body in a region located on a vitreous body side of a region regarding the retina in the tomographic image.

A method includes obtaining a first image of a patient procured during an X-ray, analyzing the first image for one or more unmasked anomalies, shifting the first image to provide a shifted image, obtaining a residual image comprising a combination of the first image and the shifted image, and analyzing the residual image for one or more masked anomalies, where the one or more masked anomalies include anomalies that went undetected in the analysis of the first image for the one or more unmasked anomalies due to a presence of one or more masking features in the first image.

The invention relates to a device and a method for the contact-free analysis of changes to skin color in living organisms, in particular in humans. Images of a skin region to be examined are recorded by means of one or more cameras and are then analyzed, in digital form, by a computer unit. In particular, one or more colors or one or more spectral ranges can be identified in a temporal sequence of occurring intensity changes, and on this basis inferences can be made regarding vital functions, in particular heart rate, pulse wave and the temporal and spatial profile thereof. Data can be derived on this basis which can be used to determine the state of health of the examined individual.

A method executed by a system for selecting images from a plurality of image groups originating from a plurality of imagers of an in-vivo device includes calculating, or otherwise associating, a general score (GS) for images of each image group, to indicate the probability that each image includes at least one pathology, dividing each image group into image subgroups, identifying a set Set(i) of maximum general scores (MGSs), a MGS for each image subgroup of each image group; and selecting images for processing by identifying a MGS|max in each set S(i) of MGSs; identifying the greatest MGS|max and selecting the image related to the greatest MGS|max. The method further includes modifying the set Set(i) of MGSs related to the selected image, and repeating the steps described above until a predetermined criterion selected from a group consisting of a number N of images and a score threshold is met.

Methods and systems estimate crop coefficients of a crop. At least one image sensor system captures a plurality of multispectral images of the crop and image data is derived from the multispectral images, At least one vegetation index of the crop is determined based on image data in at least a first spectral band. The reflectance of the crop monotonically increases and reaches a reflectance of at least 20% for at least one wavelength in the first spectral band. A crop coefficient of the crop is estimated based on the determined at least one vegetation index.

A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.

A radiographic-image processing apparatus includes an acquiring section configured to acquire not only data on each moving image but also an information item obtained in a predetermined time from capturing of the corresponding moving image if a plurality of moving images captured at different times is designated, and an allocating section configured to perform a process of saving each information item acquired by the acquiring section in a storage section in association with a data item on a corresponding moving image of the designated individual moving images.

Post-image acquisition methods, circuits and systems for evaluating medical images of a subject register a region of interest in a first medical image taken at a first point in time to the region of interest in a second image taken before or after the first medical image with voxels from the first and second medical images having a voxel-wise correspondence. The methods, circuits and systems can use line and/or shape changes of defined 3-D finite elements to electronically determine directional, shear and volumetric changes of the voxels in the region of interest between the first and second medical images.