CPC A61B 5/441 (2013.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 40/171 (2022.01); G06T 2207/30088 (2013.01); G06V 40/174 (2022.01); G06V 40/18 (2022.01)] | 20 Claims |
1. A skin diagnostic device comprising:
a memory configured to store and provide a convolutional neural network (CNN) configured to classify pixels of an image to determine a plurality (N) of respective skin sign diagnoses for each of a plurality (N) of respective skin signs wherein the CNN comprises a deep neural network for image classification configured to generate the N respective skin sign diagnoses and wherein the CNN is trained using skin sign data for each of the N respective skin signs; and
at least one processor coupled to the memory and configured to receive the image and process the image using the CNN to generate the N respective skin sign diagnoses,
wherein the CNN comprises:
an encoder phase for image classification and configured to encode features to a final encoder phase feature net; and
a decoder phase configured to receive the final encoder phase feature net for decoding by a plurality (N) of respective parallel skin sign branches to generate each of the N respective skin sign diagnoses.
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