{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11475562","patent":{"patent_number":"US-11475562","title":"Fissurenet: a deep learning approach for pulmonary fissure detection in CT images","assignee":null,"inventors":[],"filing_date":"2020-06-29T00:00:00.000Z","publication_date":"2022-10-18T00:00:00.000Z","cpc_codes":["G06T","G06F","G06T","G06T","G06T","G06V","G06V","G06T","G06T","G06T","G06T","G06T","G06V"],"num_claims":12,"abstract":"Embodiments of the present systems and methods may provide fissure detection in CT images, with improved performance, accuracy, and specificity. For example, in an embodiment, a method may comprise imaging, using a computed tomography system, at least one lung, to generate, at a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, at least one computed tomography image of the at least one lung, determining, at the computer system, at least one approximate fissure region of interest in the at least one lung image, determining, at the computer system, a more precise fissure location within the at least one region of interest, and generating an image of the lung including indication of the determined fissure location."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Fissurenet: a deep learning approach for pulmonary fissure detection in CT images","description":"Embodiments of the present systems and methods may provide fissure detection in CT images, with improved performance, accuracy, and specificity. For example, in an embodiment, a method may comprise im","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11475562","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-11475562","citation_suggestion":"Patentable. \"Fissurenet: a deep learning approach for pulmonary fissure detection in CT images\" (US-11475562). https://patentable.app/patents/US-11475562","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11475562","json":"https://patentable.app/api/llm-context/US-11475562","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:31:35.199Z"}