{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11263738","patent":{"patent_number":"US-11263738","title":"Defect detection in lyophilized drug products with convolutional neural networks","assignee":null,"inventors":[],"filing_date":"2019-10-16T00:00:00.000Z","publication_date":"2022-03-01T00:00:00.000Z","cpc_codes":["G06N","G06T","G06F","G06F","G06F","G06N","G06N","G06N","G06T","G06T","G06T","G06T"],"num_claims":54,"abstract":"In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Defect detection in lyophilized drug products with convolutional neural networks","description":"In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11263738","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-11263738","citation_suggestion":"Patentable. \"Defect detection in lyophilized drug products with convolutional neural networks\" (US-11263738). https://patentable.app/patents/US-11263738","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11263738","json":"https://patentable.app/api/llm-context/US-11263738","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T13:45:16.286Z"}