{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:PPTTP24YCDDPSOCRJ22IY3HNX2","short_pith_number":"pith:PPTTP24Y","schema_version":"1.0","canonical_sha256":"7be737eb9810c6f938514eb48c6cedbe8d112f06efdfc493dcad0aa4f8fdfa21","source":{"kind":"arxiv","id":"2007.15131","version":3},"attestation_state":"computed","paper":{"title":"Learning To Pay Attention To Mistakes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel C. Alexander, Joseph Jacob, Mou-Cheng Xu, Neil P. Oxtoby","submitted_at":"2020-07-29T22:01:28Z","abstract_excerpt":"In convolutional neural network based medical image segmentation, the periphery of foreground regions representing malignant tissues may be disproportionately assigned as belonging to the background class of healthy tissues \\cite{attenUnet}\\cite{AttenUnet2018}\\cite{InterSeg}\\cite{UnetFrontNeuro}\\cite{LearnActiveContour}. This leads to high false negative detection rates. In this paper, we propose a novel attention mechanism to directly address such high false negative rates, called Paying Attention to Mistakes. Our attention mechanism steers the models towards false positive identification, wh"},"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":"2007.15131","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-29T22:01:28Z","cross_cats_sorted":[],"title_canon_sha256":"1dd735816ea2df9b41592ae1796f8bf5373ca95db70f8045da229202ef854604","abstract_canon_sha256":"a393f6a2257cd349a18302e27c5d2854d7fa75b9d8c0ef89003de7813d80f96e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:25:27.034325Z","signature_b64":"+rtBLagh3N9OP1lbJNFOeexOmaeFnsXbiwDKe2Rb/S63O8XOcNvxu2fkMPBm/SeIZ42uprI5QT5h81kDStglAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7be737eb9810c6f938514eb48c6cedbe8d112f06efdfc493dcad0aa4f8fdfa21","last_reissued_at":"2026-07-05T01:25:27.033916Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:25:27.033916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning To Pay Attention To Mistakes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel C. Alexander, Joseph Jacob, Mou-Cheng Xu, Neil P. Oxtoby","submitted_at":"2020-07-29T22:01:28Z","abstract_excerpt":"In convolutional neural network based medical image segmentation, the periphery of foreground regions representing malignant tissues may be disproportionately assigned as belonging to the background class of healthy tissues \\cite{attenUnet}\\cite{AttenUnet2018}\\cite{InterSeg}\\cite{UnetFrontNeuro}\\cite{LearnActiveContour}. This leads to high false negative detection rates. In this paper, we propose a novel attention mechanism to directly address such high false negative rates, called Paying Attention to Mistakes. Our attention mechanism steers the models towards false positive identification, wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.15131","kind":"arxiv","version":3},"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/2007.15131/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":"2007.15131","created_at":"2026-07-05T01:25:27.033982+00:00"},{"alias_kind":"arxiv_version","alias_value":"2007.15131v3","created_at":"2026-07-05T01:25:27.033982+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.15131","created_at":"2026-07-05T01:25:27.033982+00:00"},{"alias_kind":"pith_short_12","alias_value":"PPTTP24YCDDP","created_at":"2026-07-05T01:25:27.033982+00:00"},{"alias_kind":"pith_short_16","alias_value":"PPTTP24YCDDPSOCR","created_at":"2026-07-05T01:25:27.033982+00:00"},{"alias_kind":"pith_short_8","alias_value":"PPTTP24Y","created_at":"2026-07-05T01:25:27.033982+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/PPTTP24YCDDPSOCRJ22IY3HNX2","json":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2.json","graph_json":"https://pith.science/api/pith-number/PPTTP24YCDDPSOCRJ22IY3HNX2/graph.json","events_json":"https://pith.science/api/pith-number/PPTTP24YCDDPSOCRJ22IY3HNX2/events.json","paper":"https://pith.science/paper/PPTTP24Y"},"agent_actions":{"view_html":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2","download_json":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2.json","view_paper":"https://pith.science/paper/PPTTP24Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2007.15131&json=true","fetch_graph":"https://pith.science/api/pith-number/PPTTP24YCDDPSOCRJ22IY3HNX2/graph.json","fetch_events":"https://pith.science/api/pith-number/PPTTP24YCDDPSOCRJ22IY3HNX2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2/action/storage_attestation","attest_author":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2/action/author_attestation","sign_citation":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2/action/citation_signature","submit_replication":"https://pith.science/pith/PPTTP24YCDDPSOCRJ22IY3HNX2/action/replication_record"}},"created_at":"2026-07-05T01:25:27.033982+00:00","updated_at":"2026-07-05T01:25:27.033982+00:00"}