# US 12,217,422 B1 · Compute system with skin disease identification mechanism and method of operation thereof > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,217,422 B1 - Document ID: US12217422B1 - Status: Granted - Kind: B1 - Application number: 18/431,752 - Filed: 2024-02-02 - Granted: 2025-02-04 - Earliest claimed: 2024-02-02 - Assignees: BelleTorus Corporation - Applicants: BelleTorus Corporation - Inventors: Tien Dung Nguyen; Thang Duc Nguyen; Folkert Blok; Jonathan Wolfe; Kavita Mariwalla; Nga Thi Thuy Nguyen - Web page: https://patentgrep.com/patent/US12217422B1 ## CPC - G06T 7/0012: {Biomedical image inspection} - G06T 7/11: Region-based segmentation - G16H 30/40: for processing medical images, e.g. editing - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G06T 2207/20084: Artificial neural networks [ANN] - G06T 2207/30088: Skin; Dermal - G06T 2207/30096: Tumor; Lesion - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## 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. ## Claims ### Claim 1 A method of operation of a compute system comprising: qualifying a patient image for analyzing for 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; calculating an image score for each of the skin disease result and the disease subclass identified in the patient image; and assembling a disease identification display including the patient image, a skin disease indication, the image match score, and the disease subclass for displaying on a device. ### Claim 2 (depends on 1) The method as claimed in claim 1 wherein qualifying the patient image includes identifying the skin area to be greater than 20% of the patient image. ### Claim 3 (depends on 1) The method as claimed in claim 1 wherein qualifying the patient image includes verifying a blurry metric and a bad luminosity metric. ### Claim 4 (depends on 1) The method as claimed in claim 1 further comprising generating a skin disease identification list of the skin disease result and a subclass list including one or more of the disease subclass. ### Claim 5 (depends on 1) The method as claimed in claim 1 wherein analyzing the suspected skin condition includes performing a disease classification for generating a skin disease diagnosis. ### Claim 6 (depends on 1) The method as claimed in claim 1 wherein assembling the disease identification display includes generating a skin disease identification list with a subclass list of the disease subclass. ### Claim 7 (depends on 1) The method as claimed in claim 1 further comprising generating a retake image message for the patient image with less than 20% of the skin area, has a blurry metric greater than a blurry threshold, with a luminosity metric greater than a luminosity threshold, or a combination thereof. ### Claim 8 A compute system comprising: a control circuit, including a processor, configured to: qualify a patient image to analyze for a suspected skin condition; detect a skin area in the patient image; segment the skin area into a segmented image including the suspected skin condition; crop the segmented image to form a cropped image including the suspected skin condition at a center of the cropped image; analyze the suspected skin condition to identify a skin disease result and a disease subclass from the cropped image; calculate an image score for each of the skin disease result and the disease subclass identified in the patient image; and a communication circuit, coupled to the control circuit, configured to assemble a disease identification display including the patient image, a skin disease indication, the image match score, and the disease subclass for displaying on a device. ### Claim 9 (depends on 8) The system as claimed in claim 8 wherein the control circuit is further configured to qualify a patient image including identify the skin area to be greater than 20% of the patient image. ### Claim 10 (depends on 8) The system as claimed in claim 8 wherein the control circuit is further configured to qualify a patient image including compare a blurry metric to a blurry threshold and a bad luminosity metric to a luminosity threshold. ### Claim 11 (depends on 8) The system as claimed in claim 8 wherein the control circuit is further configured to generating a skin disease identification list of the skin disease result and a subclass list that includes one or more of the disease subclass. ### Claim 12 (depends on 8) The system as claimed in claim 8 wherein the control circuit is further configured to analyze the suspected skin condition including perform a disease classification to generate a skin disease diagnosis. ### Claim 13 (depends on 8) The system as claimed in claim 8 wherein the control circuit is further configured to assemble the disease identification display including generate a skin disease identification list with a subclass list of the disease subclass. ### Claim 14 (depends on 8) The system as claimed in claim 8 wherein the control circuit is further configured to generate a retake image message for the patient image with less than 20% of the skin area, has a blurry metric greater than a blurry threshold, with a luminosity metric greater than a luminosity threshold, or a combination thereof. ### Claim 15 A non-transitory computer readable medium including instructions for a compute system comprising: 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; calculating an image score for each of the skin disease result and the disease subclass identified in the patient image; and assembling a disease identification display including the patient image, a skin disease indication, the image match score, and the disease subclass for displaying on a device. ### Claim 16 (depends on 15) The non-transitory computer readable medium as claimed in claim 15 wherein qualifying the patient image includes identifying the skin area to be greater than 20% of the patient image. ### Claim 17 (depends on 15) The non-transitory computer readable medium as claimed in claim 15 wherein qualifying the patient image includes comparing a blurry metric to a blurry threshold and a bad luminosity metric to a luminosity threshold. ### Claim 18 (depends on 15) The non-transitory computer readable medium as claimed in claim 15 further comprising generating a skin disease identification list of the skin disease result and a subclass list including one or more of the disease subclass. ### Claim 19 (depends on 15) The non-transitory computer readable medium as claimed in claim 15 wherein analyzing the suspected skin condition includes performing a disease classification for generating a skin disease diagnosis. ### Claim 20 (depends on 15) The non-transitory computer readable medium as claimed in claim 15 further comprising generating a retake image message for the patient image with less than 20% of the skin area, has a blurry metric greater than a blurry threshold, has a luminosity metric greater than a luminosity threshold, or a combination thereof.