{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11468693","patent":{"patent_number":"US-11468693","title":"Digital image classification method for cervical fluid-based cells based on a deep learning detection model","assignee":null,"inventors":[],"filing_date":"2020-11-10T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G06V","G06N","G06N","G06T","G06V","G06V","G06V","G06V","G16H","G16H","G16H","G16H","G16H","G06T","G06T","G06T","G06T"],"num_claims":10,"abstract":"The present invention relates to the field of medical technology, and more particularly, to a digital image classification method for cervical fluid-based cells based on a deep learning detection model. The method comprises the following steps: selecting and labeling positions and categories of abnormal cells or biological pathogens in a digital image of cervical liquid-based smears; performing data normalization processing on the digital image of the cervical liquid-based smears; performing model training to obtain a trained Faster-RCNN model by taking the normalized digital image of the cervical liquid-based smears as an input, and the labeled position and category of each abnormal cell or biological pathogen as an output; and inputting an image to be recognized into the trained model and outputting a classification result. The method provided by the embodiment of the present invention can achieve the following advantages: abnormal cells or biological pathogens in a cervical cytological image are positioned; the abnormal cells or biological pathogens in the cervical cytological image are classified; and slice-level diagnostic recommendations are derived by recognizing the positioned abnormal cells or biological pathogens."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Digital image classification method for cervical fluid-based cells based on a deep learning detection model","description":"The present invention relates to the field of medical technology, and more particularly, to a digital image classification method for cervical fluid-based cells based on a deep learning detection mode","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11468693","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-11468693","citation_suggestion":"Patentable. \"Digital image classification method for cervical fluid-based cells based on a deep learning detection model\" (US-11468693). https://patentable.app/patents/US-11468693","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11468693","json":"https://patentable.app/api/llm-context/US-11468693","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:54:59.365Z"}