{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11253324","patent":{"patent_number":"US-11253324","title":"Determination of appendix position using a two stage deep neural network","assignee":null,"inventors":[],"filing_date":"2019-11-06T00:00:00.000Z","publication_date":"2022-02-22T00:00:00.000Z","cpc_codes":["A61B","G06T","G06N","G06N","G06N","G06T","G06T","G06T","G16H","G16H","G16H","A61B","G06T","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"One embodiment provides a method for training a machine-learning model to detect a location of a person's appendix, comprising: receiving, at the machine-learning model, a plurality of images, each image being a slice of a body taken by a CT scan; identifying, for each of the plurality of images, features of the appendix, wherein the identifying comprises analyzing a plurality of slices of each of the plurality of images and classifying each of the plurality of slices, into one of a plurality of classification groups, based upon a feature of the appendix within the slice; segmenting each of the plurality of image slices included in the one of the plurality of classification groups that classifies the slice as containing the appendix, thereby identifying probable locations of the appendix, via utilizing a probability mask for each of the probable locations."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Determination of appendix position using a two stage deep neural network","description":"One embodiment provides a method for training a machine-learning model to detect a location of a person's appendix, comprising: receiving, at the machine-learning model, a plurality of images, each im","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11253324","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-11253324","citation_suggestion":"Patentable. \"Determination of appendix position using a two stage deep neural network\" (US-11253324). https://patentable.app/patents/US-11253324","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11253324","json":"https://patentable.app/api/llm-context/US-11253324","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T16:26:35.160Z"}