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US 11,298,072 B2Granted
Dermoscopy diagnosis of cancerous lesions utilizing dual deep learning algorithms via visual and audio (sonification) outputs
AssigneeBostel Technologies, LLC
InventorAvi Dascalu
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Abstract
The present invention provides for a system and method for the diagnosis of skin cancer, wherein visual data is acquired from a skin lesion by a passive or active optical, electronical, thermal or mechanical method, processing the acquired visual field image into a classifier, applying a dermoscopic classification analysis to the image and converting, by sonification techniques, the data to raw audio signals, wherein the raw audio signals are analyzed with a second machine learning algorithm to increase interpretability and the precision of diagnosis.
Claims18
A method of diagnosing skin cancer in a subject, the method comprising:
- obtaining an image of a tissue sample suspected of being cancerous;
- extracting a plurality of features from the image, wherein the features include texture, brightness, shape, color, size, and/or quality of tissue;
- classifying the plurality of features using a first computer-aided classifier;
- introducing the classified plurality of features into a computer-aided clustering algorithm to obtain clusters of data relating to each tissue type in the image;
- converting, by sonification techniques, the clusters of data to audio signals;
- and
- analyzing the audio signals using a second computer-aided classifier, wherein an audio output from the second computer-aided classifier acoustically differentiates malignant from benign lesions,
- wherein the subject has skin cancer if the audio output indicates the lesion is malignant.
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