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: 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 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 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 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.