{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10470734","patent":{"patent_number":"US-10470734","title":"Characterizing lung nodule risk with quantitative nodule and perinodular radiomics","assignee":null,"inventors":[],"filing_date":"2018-07-24T00:00:00.000Z","publication_date":"2019-11-12T00:00:00.000Z","cpc_codes":["A61B","A61B","A61B","A61B","A61B","A61B","A61B","G06F","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06V","G06V","G16H","A61B","A61B","G06F","G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":19,"abstract":"Embodiments associated with classifying a region of tissue using features extracted from nodules and surrounding structures. One example apparatus includes a feature extraction circuit configured to automatically extract a first set of quantitative features from a nodule represented in at least one CT image, and automatically extract a second set of quantitative features from the lung parenchyma region immediately surrounding the nodule represented in the at least one CT image; a feature selection circuit configured to select an optimally predictive feature set from the first set of quantitative features and the second set of quantitative features; and a training circuit configured to train a classifier using the optimally predictive feature set to assign malignancy risk to a lung nodule represented in a CT image of a region of tissue demonstrating lung nodules. A prognosis or treatment plan may be provided based on the malignancy risk."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Characterizing lung nodule risk with quantitative nodule and perinodular radiomics","description":"Embodiments associated with classifying a region of tissue using features extracted from nodules and surrounding structures. One example apparatus includes a feature extraction circuit configured to a","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10470734","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-10470734","citation_suggestion":"Patentable. \"Characterizing lung nodule risk with quantitative nodule and perinodular radiomics\" (US-10470734). https://patentable.app/patents/US-10470734","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10470734","json":"https://patentable.app/api/llm-context/US-10470734","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:28:50.472Z"}