Compute system with skin disease identification mechanism and method of operation thereof
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.
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.
2. 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.
3. The method as claimed in claim 1 wherein qualifying the patient image includes verifying a blurry metric and a bad luminosity metric.
4. 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.
5. The method as claimed in claim 1 wherein analyzing the suspected skin condition includes performing a disease classification for generating a skin disease diagnosis.
6. 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.
7. 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.
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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.