{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11282192","patent":{"patent_number":"US-11282192","title":"Training deep learning engines for radiotherapy treatment planning","assignee":null,"inventors":[],"filing_date":"2019-12-19T00:00:00.000Z","publication_date":"2022-03-22T00:00:00.000Z","cpc_codes":["G06N","G06T","A61N","G06N","G06T","G06N","G06N","G06T","G06T","G06T"],"num_claims":18,"abstract":"Example methods and systems for training deep learning engines for radiotherapy treatment planning are provided. One example method may comprise: obtaining a set of training data that includes unlabeled training data and labeled training data; and configuring a deep learning engine to include (a) a primary network and (b) a deep supervision network that branches off from the primary network. The method may further comprise: training the deep learning engine to perform the radiotherapy treatment planning task by processing training data instance to generate (a) primary output data and (b) deep supervision output data; and updating weight data associated with at least some of the multiple processing layers based on the primary output data and/or the deep supervision output data. The deep supervision network may be pruned prior to applying the primary network to perform the radiotherapy treatment planning task for a patient."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Training deep learning engines for radiotherapy treatment planning","description":"Example methods and systems for training deep learning engines for radiotherapy treatment planning are provided. One example method may comprise: obtaining a set of training data that includes unlabel","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11282192","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-11282192","citation_suggestion":"Patentable. \"Training deep learning engines for radiotherapy treatment planning\" (US-11282192). https://patentable.app/patents/US-11282192","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11282192","json":"https://patentable.app/api/llm-context/US-11282192","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:30:23.287Z"}