{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11263744","patent":{"patent_number":"US-11263744","title":"Saliency mapping by feature reduction and perturbation modeling in medical imaging","assignee":null,"inventors":[],"filing_date":"2019-12-09T00:00:00.000Z","publication_date":"2022-03-01T00:00:00.000Z","cpc_codes":["G06T","G06F","G06F","G06N","G06N","G06N","G06V","G06V","G06V","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"For saliency mapping, a machine-learned classifier is used to classify input data. A perturbation encoder is trained and/or applied for saliency mapping of the machine-learned classifier. The training and/or application (testing) of the perturbation encoder uses less than all feature maps of the machine-learned classifier, such as selecting different feature maps of different hidden layers in a multiscale approach. The subset used is selected based on gradients from back-projection. The training of the perturbation encoder may be unsupervised, such as using an entropy score, or semi-supervised, such as using the entropy score and a difference of a perturbation mask from a ground truth segmentation."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Saliency mapping by feature reduction and perturbation modeling in medical imaging","description":"For saliency mapping, a machine-learned classifier is used to classify input data. A perturbation encoder is trained and/or applied for saliency mapping of the machine-learned classifier. The training","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11263744","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-11263744","citation_suggestion":"Patentable. \"Saliency mapping by feature reduction and perturbation modeling in medical imaging\" (US-11263744). https://patentable.app/patents/US-11263744","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11263744","json":"https://patentable.app/api/llm-context/US-11263744","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T11:19:48.606Z"}