{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11238318","patent":{"patent_number":"US-11238318","title":"Methods and apparatus for HILN characterization using convolutional neural network","assignee":null,"inventors":[],"filing_date":"2018-04-10T00:00:00.000Z","publication_date":"2022-02-01T00:00:00.000Z","cpc_codes":["G01N","A61B","G01N","G06F","G06F","G06F","G06N","G06N","G06N","G06T","G06V","G06V","G06V","G06V","G06V","G01N","G01N","G01N","G06T","G06T","G06V"],"num_claims":19,"abstract":"A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a specimen. The method includes capturing one or more images of a labeled specimen container including a serum or plasma portion, processing the one or more images with a convolutional neural network to provide a determination of Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N). In further embodiments, the convolutional neural network can provide N′-Class segmentation information. Quality check modules and testing apparatus adapted to carry out the method are described, as are other aspects."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Methods and apparatus for HILN characterization using convolutional neural network","description":"A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipem","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11238318","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-11238318","citation_suggestion":"Patentable. \"Methods and apparatus for HILN characterization using convolutional neural network\" (US-11238318). https://patentable.app/patents/US-11238318","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11238318","json":"https://patentable.app/api/llm-context/US-11238318","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:39:04.338Z"}