{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10528848","patent":{"patent_number":"US-10528848","title":"Histomorphometric classifier to predict cardiac failure from whole-slide hematoxylin and eosin stained images","assignee":null,"inventors":[],"filing_date":"2017-10-31T00:00:00.000Z","publication_date":"2020-01-07T00:00:00.000Z","cpc_codes":["G06T","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06T","G06V","G06V","G06V","G06V","G06V","G16H","G16H","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06V"],"num_claims":20,"abstract":"Methods, apparatus, and other embodiments predict heart failure from WSIs of cardiac histopathology using a deep learning convolutional neural network (CNN). One example apparatus includes a pre-processing circuit configured to generate a pre-processed WSI by downsampling a digital WSI; an image acquisition circuit configured to randomly select a set of non-overlapping ROIs from the pre-processed WSI, and configured to provide the set of non-overlapping ROIs to a deep learning circuit; a deep learning circuit configured to generate an image-level probability that a member of the set of non-overlapping ROIs is a failure/abnormal pathology ROI using a CNN; and a classification circuit configured to generate a patient-level probability that the patient from which the region of tissue represented in the WSI was acquired is experiencing failure or non-failure based, at least in part, on the image-level probability."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Histomorphometric classifier to predict cardiac failure from whole-slide hematoxylin and eosin stained images","description":"Methods, apparatus, and other embodiments predict heart failure from WSIs of cardiac histopathology using a deep learning convolutional neural network (CNN). One example apparatus includes a pre-proce","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10528848","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-10528848","citation_suggestion":"Patentable. \"Histomorphometric classifier to predict cardiac failure from whole-slide hematoxylin and eosin stained images\" (US-10528848). https://patentable.app/patents/US-10528848","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10528848","json":"https://patentable.app/api/llm-context/US-10528848","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T15:39:48.640Z"}