Techniques for automatic association between physical and visual skin properties are provided. A computer system receives a two-dimensional (2D) image and a three-dimensional (3D) image associated with a person and determines surface skin properties using the 2D image and physical skin properties using the 3D image. The computer system generates a skin disorder severity assessment using associations between the surface skin properties and the physical skin properties.

A neural network system leverages dual attention, specifically both spatial attention and channel attention, to jointly estimate heart rate and respiratory rate of a subject by processing images of the subject. A motion neural network receives images of the subject and estimates heart and breath rates of the subject using both spatial and channel domain attention masks to focus processing on particular feature data. An appearance neural network computes a spatial attention mask from the images of the subject and may indicate that features associated with the subject's face (as opposed to the subject's hair or shoulders) to accurately estimate the heart and/or breath rate. Channel-wise domain attention is learned during training and recalibrates channel-wise feature responses to select the most informative features for processing. The channel attention mask is learned during training and can be used for different subjects during deployment.

A user-customized skin diagnosis system includes: a portable skin condition measurement device for photographing a face of a user in a contactless manner; and a skin analysis device that receives an image of the user's face photographed from the portable skin condition measurement device, analyzes the received image for at least one skin analysis item based on preset image processing and deep learning, and generates and displays skin diagnosis information and customized recommendation information according to the analyzed result.

A computer-implemented method for obtaining thermal image data of a body part and a thermal imager are disclosed. The method comprises receiving image data of a body part, the image data including thermal image data, the thermal image data including thermal image data of the body part and background thermal image data, applying a classifier to the image data to detect a profile of the body part, the classifier being configured to use image data other than the thermal image data to perform the detection, generating a mask from said profile, and applying the mask to the thermal image data to remove the background thermal image data and obtain thermal image data of the body part.

A follicular unit harvesting process receives images for analysis and identifies and highlights clusters of hair. The analysis includes pixel type determination, pixel clustering, cluster classification and cluster highlighting or replacement. The analysis of the pixels is performed concurrently, and the results of the analysis are optionally used for automated treatment planning.

An apparatus and method to assist making treatment decisions for burn injuries. The apparatus will leverage computational imaging methodologies with conventional thermographic analysis techniques. Using infrared sensors, computational image analysis, and burn assessment using thermographic imaging, a complete burn assessment imaging device can be fabricated entirely from commercially-available components. This device will use advanced software paired with a smartphone-mounted infrared camera to perform a detailed thermographic analysis using a burn triage algorithm.

Augmenting real-time views of a patient with three-dimensional (3D) data. In one embodiment, a method may include identifying 3D data for a patient with the 3D data including an outer layer and multiple inner layers, determining virtual morphometric measurements of the outer layer from the 3D data, registering a real-time position of the outer layer of the patient in a 3D space, determining real-time morphometric measurements of the outer layer of the patient, automatically registering the position of the outer layer from the 3D data to align with the registered real-time position of the outer layer of the patient in the 3D space using the virtual morphometric measurements and using the real-time morphometric measurements, and displaying, in an augmented reality (AR) headset, one of the inner layers from the 3D data projected onto real-time views of the outer layer of the patient.

Systems and methods based on thermal imaging for rapid detection of fever conditions in humans that provide for extremely inexpensive, mass producible, field deployable devices accurate in specific, relatively low temperature ranges, and in particular temperatures near nominal human body temperature. The system may include a thermal imager tailored for the application and a corresponding mass producible controlled temperature calibration source configured to provide real time calibration near the human body temperature of interest. The imager and source are deployed in a way such that target people and the calibration source will be within the imager FOV for fever detection. The combination of real time near measurement temperature calibration, with suitable thermography approaches, yield fast, accurate measurements in the fever range using low cost, easy-to-produce components. In combination with a visible imager and pattern/facial recognition techniques, detection of a human target's facial regions of interest suitable for fever detection can be accurately accomplished.

An object of the present disclosure is to provide an optical measurement method, an optical measurement apparatus, and a non-transitory computer readable medium capable of specifying the position of a pore. The optical measurement method includes first, second, and third steps. In the first step (ST11), first 3D tomographic image data is acquired from a skin by using optical coherence tomography. In the second step (ST12), a line shown in a second planar image (B2) at a second depth is removed from a first planar image (B1) at a first depth, the second depth being deeper than the first depth. In the third step (ST13), a position of a pore is specified from the first planar image (B1) from which the line has been removed.

The present disclosure provides a method for treating clinical or pre-clinical skin damage in a skin field of a subject, wherein the skin field has been allocated a skin cancerization field index (SCFI) score of at least 1 as determined by a process comprising the steps of: (i) assessing the number of keratoses in the skin field; (ii) assessing the thickness of the thickest keratosis in the skin field; and (iii) assessing the proportion of the field affected by clinical or subclinical skin damage. Based on the assessments made in (i), (ii) and (iii) the subject is optionally treated by at least one of (a) freezing one or more lesions, (b) shaving, curetting or surgically removing one or more lesions, (c) applying a topical treatment for actinic keratosis, basal cell carcinoma or squamous cell carcinoma, and (d) radiation therapy.