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公开(公告)号：US20220359062A1
公开(公告)日：2022-11-10
申请号：US17620445
申请日：2020-09-11
Applicant: Google LLC
Inventor： Robert Carter Dunn , Ayush Jain , Peggy Yen Phuong Bui , Clara Eng , David Henry Way , Kang Li , Vishakha Gupta , Jessica Gallegos , Dennis Ai , Yun Liu , David Coz , Yuan Liu
Abstract: The present disclosure is directed to a deep learning system for differential diagnoses of skin diseases. In particular, the system performs a method that can include obtaining a plurality of images that respectively depict a portion of a patient's skin. The method can include determining, using a machine-learned skin condition classification model, a plurality of embeddings respectively for the plurality of images. The method can include combining the plurality of embeddings to obtain a unified representation associated with the portion of the patient's skin. The method can include determining, using the machine-learned skin condition classification model, a skin condition classification for the portion of the patients skin, the skin condition classification produced by the machine-learned skin condition classification model by processing the unified representation, wherein the skin condition classification identifies one or more skin conditions selected from a plurality of potential skin conditions.
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公开(公告)号：US20240339217A1
公开(公告)日：2024-10-10
申请号：US18620434
申请日：2024-03-28
Applicant: Google LLC
Inventor： Peggy Yen Phuong Bui , Bianca Madalina Buisman , Quang Anh Duong , Anastasia Martynova , Ayush Jain , Yuan Liu , Jonathan David Krause , Amit Sanjay Talreja , Rajeev Vijay Rikhye , Mahvish A. Nagda , Pinal Bavishi , Christopher James Eicher , Abigail Ward , Jieming Yu , Louis Wang , Dounia Berrada , Dale Richard Webster , Harshit Kharbanda , Igor Bonaci , Kai Yu , Ke Lan , Kaan Yücer , Willa Angel Chen Miller , Lars Thomas Hansen
CPC classification number: G16H50/20 , G06T7/0012 , G16H30/40 , G06T2207/20104 , G06T2207/30088
Abstract: Systems and methods for diagnostic visual search can include processing a search query with a plurality of classification models to determine a search query intent and predict potential diagnosis. The search query can include an image that is processed to determine the presence of a body part and may be processed to determine if the search query is descriptive of a diagnostic search query. Based on the intent determination, the image may then be processed by a conditions classification model to determine one or more predicted condition classifications. Condition information can then be obtained and provided based on the one or more predicted condition classifications.
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公开(公告)号：US12040080B2
公开(公告)日：2024-07-16
申请号：US17620445
申请日：2020-09-11
Applicant: Google LLC
Inventor： Robert Carter Dunn , Ayush Jain , Peggy Yen Phuong Bui , Clara Eng , David Henry Way , Kang Li , Vishakha Gupta , Jessica Gallegos , Dennis Ai , Yun Liu , David Coz , Yuan Liu
Abstract: The present disclosure is directed to a deep learning system for differential diagnoses of skin diseases. In particular, the system performs a method that can include obtaining a plurality of images that respectively depict a portion of a patient's skin. The method can include determining, using a machine-learned skin condition classification model, a plurality of embeddings respectively for the plurality of images. The method can include combining the plurality of embeddings to obtain a unified representation associated with the portion of the patient's skin. The method can include determining, using the machine-learned skin condition classification model, a skin condition classification for the portion of the patients skin, the skin condition classification produced by the machine-learned skin condition classification model by processing the unified representation, wherein the skin condition classification identifies one or more skin conditions selected from a plurality of potential skin conditions.
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