{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11983869","patent":{"patent_number":"US-11983869","title":"Feature-space clustering for physiological cycle classification","assignee":null,"inventors":[],"filing_date":"2021-06-09T00:00:00.000Z","publication_date":"2024-05-14T00:00:00.000Z","cpc_codes":["A61N","G06T","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06T","G16H","G16H","A61N","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"Systems and methods are disclosed for performing operations comprising: receiving a plurality of training images representing different phases of a periodic motion of a target region in a patient; applying a model to the plurality of training images to generate a lower-dimensional feature space representation of the plurality of training images; clustering the lower-dimensional feature space representation of the plurality of training images into a plurality of groups corresponding to the different phases of the periodic motion; and classifying a motion phase associated with a new image of the target region in the patient based on the plurality of groups of the clustered lower-dimensional feature space representation of the plurality of training images."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Feature-space clustering for physiological cycle classification","description":"Systems and methods are disclosed for performing operations comprising: receiving a plurality of training images representing different phases of a periodic motion of a target region in a patient; app","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11983869","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-11983869","citation_suggestion":"Patentable. \"Feature-space clustering for physiological cycle classification\" (US-11983869). https://patentable.app/patents/US-11983869","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11983869","json":"https://patentable.app/api/llm-context/US-11983869","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T17:59:15.808Z"}