Patent ID: 11935644
Assignee: PROSCIA INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A non-transitory computer readable medium comprising instructions that, when executed by an electronic processor, configure the electronic processor to classify a human cutaneous tissue sample by performing actions comprising:
obtaining an image of the human cutaneous tissue sample;
applying a trained machine learning system to the image of the human cutaneous tissue sample, wherein the trained machine learning system is trained with a plurality of training images, the plurality of training images comprising a plurality of diagnostic goal dermatological images and a plurality of distractor dermatological images,
wherein the plurality of diagnostic goal dermatological images comprise at least a plurality of images of a first dermatological diagnostic goal and a plurality of images of a second dermatological diagnostic goal,
wherein the plurality of distractor dermatological images comprise a plurality of distractor images corresponding to the first dermatological diagnostic goal and a plurality of distractor images corresponding to the second dermatological diagnostic goal,
and wherein the trained machine learning system is trained using the plurality of training images by:
training a first deep learning neural network using the plurality of images of the first dermatological diagnostic goal and the plurality of distractor images corresponding to the first dermatological diagnostic goal, and
training a second deep learning neural network using the plurality of images of the second dermatological diagnostic goal and the plurality of distractor images corresponding to the second dermatological diagnostic goal;

obtaining a dermatological diagnosis from the trained machine learning system; and
outputting the dermatological diagnosis.