{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11984206","patent":{"patent_number":"US-11984206","title":"Automated extraction of structured labels from medical text using deep convolutional networks and use thereof to train a computer vision model","assignee":null,"inventors":[],"filing_date":"2018-02-16T00:00:00.000Z","publication_date":"2024-05-14T00:00:00.000Z","cpc_codes":["G16H","G06N","G16H"],"num_claims":21,"abstract":"A method is provided for processing medical text and associated medical images. A natural language processor configured as a deep conventional neural network is trained on a first corpus of curated free-text, medical reports each of which having one or more structured labels assigned by an medical expert. The network is trained to learn to read additional free-text medical reports and produce predicted structured labels. The natural language processor is applied to a second corpus of free-text medical reports that are associated with medical images. The natural language processor generates structured labels for the associated medical images. A computer vision model is trained using the medical images and the structured labels generated. The computer vision model can thereafter assign a structured label to a further input medical image. In one example, the medical images are chest X-rays."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Automated extraction of structured labels from medical text using deep convolutional networks and use thereof to train a computer vision model","description":"A method is provided for processing medical text and associated medical images. A natural language processor configured as a deep conventional neural network is trained on a first corpus of curated fr","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11984206","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11984206","citation_suggestion":"Patentable. \"Automated extraction of structured labels from medical text using deep convolutional networks and use thereof to train a computer vision model\" (US-11984206). https://patentable.app/patents/US-11984206","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11984206","json":"https://patentable.app/api/llm-context/US-11984206","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:02:13.801Z"}