{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10489908","patent":{"patent_number":"US-10489908","title":"Deep convolutional encoder-decoder for prostate cancer detection and classification","assignee":null,"inventors":[],"filing_date":"2017-12-05T00:00:00.000Z","publication_date":"2019-11-26T00:00:00.000Z","cpc_codes":["G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":14,"abstract":"A method and apparatus for automated prostate tumor detection and classification in multi-parametric magnetic resonance imaging (MRI) is disclosed. A multi-parametric MRI image set of a patient, including a plurality of different types of MRI images, is received. Simultaneous detection and classification of prostate tumors in the multi-parametric MRI image set of the patient are performed using a trained multi-channel image-to-image convolutional encoder-decoder that inputs multiple MRI images of the multi-parametric MRI image set of the patient and includes a plurality of output channels corresponding to a plurality of different tumor classes. For each output channel, the trained image-to image convolutional encoder-decoder generates a respective response map that provides detected locations of prostate tumors of the corresponding tumor class in the multi-parametric MRI image set of the patient."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Deep convolutional encoder-decoder for prostate cancer detection and classification","description":"A method and apparatus for automated prostate tumor detection and classification in multi-parametric magnetic resonance imaging (MRI) is disclosed. A multi-parametric MRI image set of a patient, inclu","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10489908","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-10489908","citation_suggestion":"Patentable. \"Deep convolutional encoder-decoder for prostate cancer detection and classification\" (US-10489908). https://patentable.app/patents/US-10489908","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10489908","json":"https://patentable.app/api/llm-context/US-10489908","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:32:15.531Z"}