Methods, systems, and storage media for determining a numerical classification of human skin color, determining one or more characteristics of skin based on images, and determining a personalized treatment plan for one or more skin conditions or issues are disclosed. The system can receive images of skin and access user profile information, such as biometric information, medical record information, and other clinically relevant information. The system can determine a classification of a skin color of the user using the image and the biometric information by providing the image and the biometric information as input to a skin color classifier. Using the skin color, the system can determine one or more characteristics of the skin in the image and, if needed, determine and provide at least one personalized treatment plan to a computing device of a user.

Methods for calculating a MetaKG signal are provided. The method including illuminating a region of interest in a sample with a near-infrared (NIR) light source and/or a visible light source; acquiring images of the region of interest; processing the acquired images to obtain metadata associated with the acquired images; and calculating the MetaKG signal from the metadata associated with the acquired images. Related systems and computer program products are also provided.

An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute a color image that has multiple color components, on a first color plane according to color components of the pixel correspondence points, the first color plane intersecting the origin of a predetermined color space; an axis setting unit which sets a predetermined reference axis in the first color plane; a transform unit which defines a second color plane that includes the reference axis, and subjecting the pixel correspondence points on the first color plane to projective transformation onto the second color plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the color image based on the pixel correspondence points subjected to projective transformation onto the second color plane.

What is disclosed is a system and method for automatically segmenting a breast from surrounding tissue in a thermal image. A thermal image of at least one breast of the patient is received. The thermal image is then analyzed to identify a set of N points around the breast, a contour of an outline of the body, and isotherms of the axilla and infra-mammary fold. Thereafter, the points are connected together to form a N-sided irregular polygon which segments the breast from surrounding tissue. Each of the points is a vertex of the polygon and comprises a draggable object which enables a user to selectively manipulate a shape of the polygon. A user can add/delete vertices from the polygon as desired. The area of the image encompassed by the polygon is communicated to a breast cancer screening algorithm performing automated or semi-automated screening.

A core for obturating a root canal includes a body that has a pre-formed contour that closely matches a contour of the root canal. When the core is inserted in the root canal with or without sealer, there are essentially no voids in the root canal. A method of making a customized root canal obturation core includes generating a three-dimensional image of a root canal. The method also includes manufacturing the customized root canal obturation core based on the three-dimensional image of the root canal. The customized root canal obturation core has a preformed contour that closely matches a contour of the root canal such that when the core is inserted in the root canal with or without sealer there are essentially no voids in the root canal.

A mammography apparatus is provided for detecting malignant cells in a breast, comprising an x-ray source and an x-ray detector that cooperates with the x-ray source for providing an x-ray image of said breast, and further comprising a paddle for flattening the breast by pressing it against said x-ray detector, and comprising a contact area measuring device for measuring a contact area between the breast and the paddle, wherein the contact area measuring device is embodied with at least a first laminate of an electrically insulating material and an electrically low resistance material, which first laminate is provided on a side of the paddle facing the breast, and wherein the electrically low resistance material is sandwiched between the paddle and the insulating material.

A system for non-invasive hematological measurements includes a platform to receive a body portion of a user and an imaging device to acquire a set of images of a capillary bed in the body portion. For each image, a controller detects one or more capillaries in the body portion of the finger to identify a first set of capillaries by estimating one or more attributes of each capillary (e.g., structural attributes, flow attributes, imaging attributes, or combinations thereof), wherein at least one attribute of each capillary meets a predetermined criterion. The controller also identifies a second set of capillaries from the first set of capillaries such that each capillary of the second set of capillaries is visible in a predetermined number of images of the set of images.

A measurement system is provided with an array of laser diodes with one or more Bragg reflectors. At least a portion of the light generated by the array is configured to penetrate tissue comprising skin. A detection system configured to: measure a phase shift, and a time-of-flight, of at least a portion of the light from the array of laser diodes reflected from the tissue relative to the portion of the light generated by the array; generate one or more images of the tissue; detect oxy- or deoxy-hemoglobin in the tissue; non-invasively measure blood in blood vessels within or below a dermis layer within the skin; measure one or more physiological parameters based at least in part on the non-invasively measured blood; and measure a variation in the blood or physiological parameter over a period of time.

Mental state data useful for determining mental state information on an individual, such as video of an individual's face, is captured. Additional data that is helpful in determining the mental state information, such as contextual information, is also determined. Intermittent mental state data is interpolated. The data and additional data allow interpretation of individual mental state information. The additional data is tagged to the mental state data. At least some of the mental state data, along with the tagged data, is analyzed to produce further mental state information. A mood measurement is a result of the analysis.

A kidney viability assessment system (KVAS) is disclosed which provides objective and reliable tests to assess the viability of transplant or donor kidneys in vivo and predict their post-transplant outcomes. KVAS includes an optical device augmented by an intelligent algorithm that can evaluate the viability or quality of the donor kidney in a real-time, non-invasive way. In particular, it includes a handheld optical coherence tomography (OCT) imaging device and at least one processor configured for executing a set of instructions corresponding to an automatic image processing algorithm for quantification of kidney microstructures and functions. Handheld OCT can survey the entire surface of kidney, and the image processing algorithm automatically segments and quantifies the diameter and/or density of the kidney microstructures, blood flows, etc., and quantitative values are displayed in real-time on a display of the KVAS.