{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3DLNQWMSUF2ICXHV25JJXG3GBT","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4c55edb322dfacbe390c8f186930275df037382e11bec9f4da9202457f115dd6","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-11-20T16:14:19Z","title_canon_sha256":"d788931b6545797ffbab44abc61a756b80fddb725c51618f417b5354f6e9e336"},"schema_version":"1.0","source":{"id":"2111.10620","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.10620","created_at":"2026-07-05T04:14:40Z"},{"alias_kind":"arxiv_version","alias_value":"2111.10620v2","created_at":"2026-07-05T04:14:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.10620","created_at":"2026-07-05T04:14:40Z"},{"alias_kind":"pith_short_12","alias_value":"3DLNQWMSUF2I","created_at":"2026-07-05T04:14:40Z"},{"alias_kind":"pith_short_16","alias_value":"3DLNQWMSUF2ICXHV","created_at":"2026-07-05T04:14:40Z"},{"alias_kind":"pith_short_8","alias_value":"3DLNQWMS","created_at":"2026-07-05T04:14:40Z"}],"graph_snapshots":[{"event_id":"sha256:e6f81391c821ad57dfff8f1d450cb93da9c60296c8f32113c5d4705f0c2c9dcc","target":"graph","created_at":"2026-07-05T04:14:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2111.10620/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models have gained remarkable performance on a variety of image classification tasks. However, many models suffer from limited performance in clinical or medical settings when data are imbalanced. To address this challenge, we propose a medical-knowledge-guided one-class classification approach that leverages domain-specific knowledge of classification tasks to boost the model's performance. The rationale behind our approach is that some existing prior medical knowledge can be incorporated into data-driven deep learning to facilitate model learning. We design a deep learning-base","authors_text":"Ashok Panigrahy, Chang Liu, Dooman Arefan, Long Gao, Margarita L. Zuley, Shandong Wu","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-11-20T16:14:19Z","title":"Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.10620","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ca1955df031db33ec0dd8fcf4aa101fc15b2176323c7d0796497b3895e0d52bb","target":"record","created_at":"2026-07-05T04:14:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4c55edb322dfacbe390c8f186930275df037382e11bec9f4da9202457f115dd6","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-11-20T16:14:19Z","title_canon_sha256":"d788931b6545797ffbab44abc61a756b80fddb725c51618f417b5354f6e9e336"},"schema_version":"1.0","source":{"id":"2111.10620","kind":"arxiv","version":2}},"canonical_sha256":"d8d6d85992a174815cf5d7529b9b660cd22e53616578a34a11d45e495007e660","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8d6d85992a174815cf5d7529b9b660cd22e53616578a34a11d45e495007e660","first_computed_at":"2026-07-05T04:14:40.024032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:14:40.024032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aXhnOuMv6BThuhc/OaFAUekbOPsUkCeTKBBAPBWq3oCPd7NBCb5WZU8xONxOMPGwZ+ZjRSgumD2VAXSKm1TxDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:14:40.024428Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.10620","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca1955df031db33ec0dd8fcf4aa101fc15b2176323c7d0796497b3895e0d52bb","sha256:e6f81391c821ad57dfff8f1d450cb93da9c60296c8f32113c5d4705f0c2c9dcc"],"state_sha256":"87f1afcec0767b1abf7fd969da83c9a601c187f1e626d7021c8392c0f35ac8e4"}