{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11514573","patent":{"patent_number":"US-11514573","title":"Estimating object thickness with neural networks","assignee":null,"inventors":[],"filing_date":"2020-09-08T00:00:00.000Z","publication_date":"2022-11-29T00:00:00.000Z","cpc_codes":["G06T","A61B","A61B","A61B","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06V","G06V","G16H","G16H","G16H","G16H","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06V"],"num_claims":18,"abstract":"Described herein are neural network-based systems, methods and instrumentalities associated with estimating a thickness of an anatomical structure based on a visual representation of the anatomical structure and a machine-learned thickness prediction model. The visual representation may include an image or a segmentation mask of the anatomical structure. The thickness prediction model may be learned based on ground truth information derived by applying a partial differential equation such as Laplace's equation to the visual representation and solving the partial differential equation. When the visual representation includes an image of the anatomical structure, the systems, methods and instrumentalities described herein may also be capable of generating a segmentation mask of the anatomical structure based on the image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Estimating object thickness with neural networks","description":"Described herein are neural network-based systems, methods and instrumentalities associated with estimating a thickness of an anatomical structure based on a visual representation of the anatomical st","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11514573","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-11514573","citation_suggestion":"Patentable. \"Estimating object thickness with neural networks\" (US-11514573). https://patentable.app/patents/US-11514573","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11514573","json":"https://patentable.app/api/llm-context/US-11514573","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:23:05.498Z"}