{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:YVQXVLRISB2ULYNE5HLKBBQMFI","short_pith_number":"pith:YVQXVLRI","schema_version":"1.0","canonical_sha256":"c5617aae28907545e1a4e9d6a0860c2a2667ced4d9c1b33fbc8e29cb724278a6","source":{"kind":"arxiv","id":"2410.08118","version":1},"attestation_state":"computed","paper":{"title":"Medical Image Quality Assessment based on Probability of Necessity and Sufficiency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ameenat L. Solebo, Boyu Chen, Paul Taylor, Weiye Bao","submitted_at":"2024-10-10T17:01:57Z","abstract_excerpt":"Medical image quality assessment (MIQA) is essential for reliable medical image analysis. While deep learning has shown promise in this field, current models could be misled by spurious correlations learned from data and struggle with out-of-distribution (OOD) scenarios. To that end, we propose an MIQA framework based on a concept from causal inference: Probability of Necessity and Sufficiency (PNS). PNS measures how likely a set of features is to be both necessary (always present for an outcome) and sufficient (capable of guaranteeing an outcome) for a particular result. Our approach leverage"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2410.08118","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-10T17:01:57Z","cross_cats_sorted":[],"title_canon_sha256":"15e285ea47ea9116ef2b0c18eb737aa800c9c28fe884317d3a7ce5040575f31d","abstract_canon_sha256":"f9a5c8134e8a8044cf1b6045b9621c7efb47c6626423eededc8d65c89f67c2fa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:18:48.783959Z","signature_b64":"NV0JNnOIIEjmOeIr+aglfMhsbGaJVlA48zraqNXb+YloQiWjjNg4+hGqtXPxndAa5og+NSykEgmryDKguBBfCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5617aae28907545e1a4e9d6a0860c2a2667ced4d9c1b33fbc8e29cb724278a6","last_reissued_at":"2026-07-05T09:18:48.783534Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:18:48.783534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Medical Image Quality Assessment based on Probability of Necessity and Sufficiency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ameenat L. Solebo, Boyu Chen, Paul Taylor, Weiye Bao","submitted_at":"2024-10-10T17:01:57Z","abstract_excerpt":"Medical image quality assessment (MIQA) is essential for reliable medical image analysis. While deep learning has shown promise in this field, current models could be misled by spurious correlations learned from data and struggle with out-of-distribution (OOD) scenarios. To that end, we propose an MIQA framework based on a concept from causal inference: Probability of Necessity and Sufficiency (PNS). PNS measures how likely a set of features is to be both necessary (always present for an outcome) and sufficient (capable of guaranteeing an outcome) for a particular result. Our approach leverage"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.08118","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.08118/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2410.08118","created_at":"2026-07-05T09:18:48.783600+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.08118v1","created_at":"2026-07-05T09:18:48.783600+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.08118","created_at":"2026-07-05T09:18:48.783600+00:00"},{"alias_kind":"pith_short_12","alias_value":"YVQXVLRISB2U","created_at":"2026-07-05T09:18:48.783600+00:00"},{"alias_kind":"pith_short_16","alias_value":"YVQXVLRISB2ULYNE","created_at":"2026-07-05T09:18:48.783600+00:00"},{"alias_kind":"pith_short_8","alias_value":"YVQXVLRI","created_at":"2026-07-05T09:18:48.783600+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI","json":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI.json","graph_json":"https://pith.science/api/pith-number/YVQXVLRISB2ULYNE5HLKBBQMFI/graph.json","events_json":"https://pith.science/api/pith-number/YVQXVLRISB2ULYNE5HLKBBQMFI/events.json","paper":"https://pith.science/paper/YVQXVLRI"},"agent_actions":{"view_html":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI","download_json":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI.json","view_paper":"https://pith.science/paper/YVQXVLRI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.08118&json=true","fetch_graph":"https://pith.science/api/pith-number/YVQXVLRISB2ULYNE5HLKBBQMFI/graph.json","fetch_events":"https://pith.science/api/pith-number/YVQXVLRISB2ULYNE5HLKBBQMFI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI/action/storage_attestation","attest_author":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI/action/author_attestation","sign_citation":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI/action/citation_signature","submit_replication":"https://pith.science/pith/YVQXVLRISB2ULYNE5HLKBBQMFI/action/replication_record"}},"created_at":"2026-07-05T09:18:48.783600+00:00","updated_at":"2026-07-05T09:18:48.783600+00:00"}