Compute system with skin pathology mechanism and method of operation thereof
AssigneeBelleTorus Corporation
InventorsThi Thu Hang Nguyen, Léa Mathilde Gazeau, Paul Fricker
Life of this patent
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Abstract
A method of operation of a compute system includes: generating a skin segmented output including a skin region based on a patient image; generating a disease severity heatmap based on the skin segmented output and the patient image; generating a disease severity contour based on the disease severity heatmap and for the skin region; generating a disease score from the disease severity heatmap; and communicating the disease severity contour, the disease score, or a combination thereof for displaying on a device.
Claims20
A method of operation of a compute system comprising:
- segmenting a patient image to generate a skin segmented output isolating a skin region and a non-skin region using EfficientNet;
- generating a plurality of disease severity heatmaps with a trained neural network based on the skin segmented output and the patient image, wherein the plurality of disease severity heatmaps are generated by the trained neural network assigning a severity value to each pixel of the skin region and comparing each of the severity values with one or more disease thresholds;
- generating a disease severity contour based on the respective disease severity heatmap and for the skin region, the disease severity contour is generated by converting the respective disease severity heatmap to a contour-based representation, based on one or more contour thresholds, that delineates a severity level;
- generating a disease score from the plurality of disease severity heatmaps;
- and
- communicating the disease severity contour and the disease score for displaying on a device.
A compute system comprising:
- a control circuit, including a processor, configured to:
- segment a patient image to generate a skin segmented output isolating a skin region and a non-skin region using EfficientNet;
- generate a plurality of disease severity heatmaps with a trained neural network based on the skin segmented output and the patient image, wherein the plurality of disease severity heatmaps are generated by the trained neural network assigning a severity value to each pixel of the skin region and comparing each of the severity values with one or more disease thresholds;
- generate a disease severity contour based on the respective disease severity heatmap and for the skin region, the disease severity contour is generated by converting the respective disease severity heatmap to a contour-based representation, based on one or more contour thresholds, that delineates a severity level;
- generate a disease score from the plurality of disease severity heatmaps;
- and
- communicate the disease severity contour and the disease score for displaying on a device.
A non-transitory computer readable medium including instructions executable by a control circuit for a compute system performing functions comprising:
- segmenting a patient image to generate a skin segmented output isolating a skin region and a non-skin region using EfficientNet;
- generating a plurality of disease severity heatmaps with a trained neural network based on the skin segmented output and the patient image, wherein the plurality of disease severity heatmaps are generated by the trained neural network assigning a severity value to each pixel of the skin region and comparing each of the severity values with one or more disease thresholds;
- generating a disease severity contour based on the respective disease severity heatmap and for the skin region, the disease severity contour is generated by converting the respective disease severity heatmap to a contour-based representation, based on one or more contour thresholds, that delineates a severity level;
- generating a disease score from the plurality of disease severity heatmaps;
- and
- communicating the disease severity contour and the disease score for displaying on a device.
Dependencies are inferred from the claim text.