Invention Grant
- Patent Title: Classification and mutation prediction from histopathology images using deep learning
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Application No.: US16711199Application Date: 2019-12-11
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Publication No.: US11367180B2Publication Date: 2022-06-21
- Inventor: Nicolas Coudray , Paolo Santiago Ocampo , Andre L. Moreira , Narges Razavian , Aristotelis Tsirigos
- Applicant: NEW YORK UNIVERSITY
- Applicant Address: US NY New York
- Assignee: NEW YORK UNIVERSITY
- Current Assignee: NEW YORK UNIVERSITY
- Current Assignee Address: US NY New York
- Agency: Foley & Lardner LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G01N33/574 ; G06V20/69
Abstract:
Systems and methods for classification and mutation prediction from histopathology images using deep learning. In particular, the examples described herein utilize lung cancer as an example, in particular adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) as two subtypes of lung cancer to identify and distinguish between.
Public/Granted literature
- US20200184643A1 CLASSIFICATION AND MUTATION PREDICTION FROM HISTOPATHOLOGY IMAGES USING DEEP LEARNING Public/Granted day:2020-06-11
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