Abstract: A method of operation of a compute system includes: qualifying a patient image for analyzing a suspected skin condition; detecting a skin area in the patient image; segmenting the skin area into a segmented image including the suspected skin condition; cropping the segmented image to form a cropped image including the suspected skin condition at a center of the cropped image; analyzing the suspected skin condition to identify a skin disease result and a disease subclass from the cropped image; and assembling a disease identification display including the patient image, a skin disease indication, an image match score, and the disease subclass for displaying on a device.

Abstract: A method of operation of a compute system includes: detecting a skin area in a patient image; segmenting the skin area into a segmented image having an acne pimple at the center; generating a target pixel array from the segmented image includes separating a plurality of the acne pimples that are adjacent in the segmented image; identifying an acne characterization of the acne pimples including an area of each acne and an acne score; and assembling a user interface display from the acne characterization for displaying on a device.

Abstract: A method of operation of a compute system includes: generating a digital model from a input image; segmenting a 3D-polygon from the input image by applying a triangular mesh; assembling a 3D surface, based on the digital model of a zone of interest from the 3D-polygon; calculating an average threshold value of pixels within the zone of interest for identifying a condition over the 3D surface; and assembling a skin condition display from analyzing by a skin artificial intelligence (AI) of the 3D surface for displaying on a device.

Abstract: Herein discloses a method of carbonating reactive magnesia cement, which includes: (i) providing an aqueous suspension including a carbon dioxide-producing bacteria; (ii) mixing the aqueous suspension with a precursor which the carbon dioxide-producing bacteria generates carbon dioxide from for a duration to form an aqueous mixture sufficient for substantially carbonating the reactive magnesia cement; (iii) mixing the aqueous mixture with the reactive magnesia cement to form a blend; wherein a nutrient is provided in the aqueous suspension of step (i) or in the reactive magnesia cement of step (iii) to sustain the carbon dioxide-producing bacteria in the reactive magnesia cement; and (iv) curing the blend to carbonate the reactive magnesia cement. A reactive magnesia cement composite formed by the method is also disclosed.

Abstract: A method of operation of a compute system includes: verifying a patient image as an acceptable image; detecting a body part from the acceptable image; generating a skin segmentation for the body part including a non-skin region and a skin region based on the acceptable image; and generating a local Hidradenitis Suppurativa (HS) severity score based on the patient image for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a eczema segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, papulation, lichenification, and excoriation for the cropped image; and generating a full body EASI score based on the eczema segmentation and the intermediate scores for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: receiving a patient image; segmenting a skin lesion in the patient image; constructing a normalized image by cropping the patient image and adding padding to position the skin lesion at the center of the normalized image; identifying, by a cancer artificial intelligence (AI) already trained, a skin cancer classification, a skin cancer sub-class, and a risk level assessment; and generating a skin cancer display including the normalized image, the skin cancer classification, the skin cancer sub-class, and the risk level assessment for displaying on a device.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a lesion segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, induration, desquamation for the cropped image; and generating a full body severity score based on the lesion segmentation and the intermediate scores for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system comprising: detecting a skin area in a patient image; generating a normalized image by applying a rescale factor to the skin area; cropping a target pixel array from the normalized image with an acne pimple at the center of the target pixel array; generating an acne type by analyzing the target pixel array including calculating an acne severity score and calculating an area of each acne; and generating a user interface display including an acne indication and the acne severity score for displaying on a device.

Abstract: A method of operation of a compute system includes: detecting a skin area in a patient image; segmenting the skin area into a segmented image having an acne pimple at the center; generating a target pixel array from the segmented image includes separating a plurality of the acne pimples that are adjacent in the segmented image; identifying an acne characterization of the acne pimples including an area of each acne and an acne score; and assembling a user interface display from the acne characterization for displaying on a device.

Abstract: A method of operation of a compute system includes: verifying a patient image as an acceptable image; detecting a body part from the acceptable image; generating a skin segmentation for the body part including a non-skin region and a skin region based on the acceptable image; and generating a local Hidradenitis Suppurativa (HS) severity score based on the patient image for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a eczema segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, papulation, lichenification, and excoriation for the cropped image; and generating a full body EASI score based on the eczema segmentation and the intermediate scores for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a lesion segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, induration, desquamation for the cropped image; and generating a full body severity score based on the lesion segmentation and the intermediate scores for displaying on a device to assist in diagnosis.

Abstract: A method of operation of a compute system includes: generating a skin segmentation including a non-skin region and a skin prediction based on a patient image; generating a body part segmentation based on the patient image; generating a cropped image based on the skin segmentation and the body part segmentation with the cropped image includes the non-skin region based on the skin prediction; generating a psoriasis segmentation based on the cropped image and the skin prediction; generating intermediate scores for erythema, induration, desquamation for the cropped image; and generating a full body PASI score based a psoriasis segmentation and the intermediate scores on the for displaying on a device to assist in diagnosis.

Abstract: Herein discloses a method of carbonating reactive magnesia cement, which includes: (i) providing an aqueous suspension including a carbon dioxide-producing bacteria; (ii) mixing the aqueous suspension with a precursor which the carbon dioxide-producing bacteria generates carbon dioxide from for a duration to form an aqueous mixture sufficient for substantially carbonating the reactive magnesia cement; (iii) mixing the aqueous mixture with the reactive magnesia cement to form a blend; wherein a nutrient is provided in the aqueous suspension of step (i) or in the reactive magnesia cement of step (iii) to sustain the carbon dioxide-producing bacteria in the reactive magnesia cement; and (iv) curing the blend to carbonate the reactive magnesia cement. A reactive magnesia cement composite formed by the method is also disclosed.

Abstract: A method for managing a mobile node of an SDN controller according to an aspect of the present disclosure includes receiving a router solicitation message of a mobile node transmitted through a first AP operated by the SDN controller.

Abstract: A method for managing a mobile node of an SDN controller according to an aspect of the present disclosure includes receiving a router solicitation message of a mobile node transmitted through a first AP operated by the SDN controller.

Abstract: In a radio communication system of hierarchical cell structure in which macrocells provided by a macro base station and femto cells provided by a femto base station are overlapped on each other, a method and a system for handing over a terminal are provided. To be specific, if load of a serving base station increase or decreases more than a predetermined extent, a method and a system adaptively adjust the handover between macro base stations, between femto base station, or between femto base station and macro base station.

Abstract: In a radio communication system of hierarchical cell structure in which macrocells provided by a macro base station and femto cells provided by a femto base station are overlapped on each other, a method and a system for handing over a terminal are provided. To be specific, if load of a serving base station increase or decreases more than a predetermined extent, a method and a system adaptively adjust the handover between macro base stations, between femto base station, or between femto base station and macro base station.

Abstract: There is provided an ultrasound imaging system, which includes: an ultrasound diagnostic unit for providing 3D volume data of an object and its neighboring region, wherein the 3D volume data is formed with a number of frames; a pre-processing unit for selecting a predetermined number of key frames from the frames; a segmentation unit for segmenting each of the key frames into object regions and non-object regions; a texture-based region classifying and merging unit for classifying the object and the non-object regions into object and non-object sub-regions based on the texture thereof, and removing the non-object sub-regions and merging the object sub-regions; a surface determining unit for extracting contours of the object in the key frames and determining a 3D surface of the object by connecting the contours; and a rendering unit for forming masked volume with the 3D surface and forming a 3D ultrasound image of the object by rendering the masked volume.