{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:FBBNFL3PJOEJTDZGC5LCKB7K3S","short_pith_number":"pith:FBBNFL3P","schema_version":"1.0","canonical_sha256":"2842d2af6f4b88998f2617562507eadcb819fbe74e84bf9c1d9702401dc35ad2","source":{"kind":"arxiv","id":"1804.05338","version":1},"attestation_state":"computed","paper":{"title":"Attention-Gated Networks for Improving Ultrasound Scan Plane Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ben Glocker, Bernhard Kainz, Caroline Knight, Daniel Rueckert, Jacqueline Matthew, Jo Schlemper, Liang Chen, Ozan Oktay","submitted_at":"2018-04-15T11:15:28Z","abstract_excerpt":"In this work, we apply an attention-gated network to real-time automated scan plane detection for fetal ultrasound screening. Scan plane detection in fetal ultrasound is a challenging problem due the poor image quality resulting in low interpretability for both clinicians and automated algorithms. To solve this, we propose incorporating self-gated soft-attention mechanisms. A soft-attention mechanism generates a gating signal that is end-to-end trainable, which allows the network to contextualise local information useful for prediction. The proposed attention mechanism is generic and it can be"},"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":"1804.05338","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-15T11:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"8d51b25aaa914abc37c1ca19105c0a552b1f3899ebed77c48c9cfa8a8f07394b","abstract_canon_sha256":"3ab9974cb1ca1c4ec6a47f7c2945e835cd75cb5b336b34970e288fd05d13f0ef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:28.330950Z","signature_b64":"oI32lGA6sNtbAnZR3er6xPJ7rbBM3hE7BMGfTa4EsY+zL+Hmam+epUizUfzQ0mLGuLNOTbEdTFGZXjOI7tkSDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2842d2af6f4b88998f2617562507eadcb819fbe74e84bf9c1d9702401dc35ad2","last_reissued_at":"2026-05-18T00:18:28.330520Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:28.330520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Attention-Gated Networks for Improving Ultrasound Scan Plane Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ben Glocker, Bernhard Kainz, Caroline Knight, Daniel Rueckert, Jacqueline Matthew, Jo Schlemper, Liang Chen, Ozan Oktay","submitted_at":"2018-04-15T11:15:28Z","abstract_excerpt":"In this work, we apply an attention-gated network to real-time automated scan plane detection for fetal ultrasound screening. Scan plane detection in fetal ultrasound is a challenging problem due the poor image quality resulting in low interpretability for both clinicians and automated algorithms. To solve this, we propose incorporating self-gated soft-attention mechanisms. A soft-attention mechanism generates a gating signal that is end-to-end trainable, which allows the network to contextualise local information useful for prediction. The proposed attention mechanism is generic and it can be"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.05338","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":""},"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":"1804.05338","created_at":"2026-05-18T00:18:28.330581+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.05338v1","created_at":"2026-05-18T00:18:28.330581+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.05338","created_at":"2026-05-18T00:18:28.330581+00:00"},{"alias_kind":"pith_short_12","alias_value":"FBBNFL3PJOEJ","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_16","alias_value":"FBBNFL3PJOEJTDZG","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_8","alias_value":"FBBNFL3P","created_at":"2026-05-18T12:32:22.470017+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/FBBNFL3PJOEJTDZGC5LCKB7K3S","json":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S.json","graph_json":"https://pith.science/api/pith-number/FBBNFL3PJOEJTDZGC5LCKB7K3S/graph.json","events_json":"https://pith.science/api/pith-number/FBBNFL3PJOEJTDZGC5LCKB7K3S/events.json","paper":"https://pith.science/paper/FBBNFL3P"},"agent_actions":{"view_html":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S","download_json":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S.json","view_paper":"https://pith.science/paper/FBBNFL3P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.05338&json=true","fetch_graph":"https://pith.science/api/pith-number/FBBNFL3PJOEJTDZGC5LCKB7K3S/graph.json","fetch_events":"https://pith.science/api/pith-number/FBBNFL3PJOEJTDZGC5LCKB7K3S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S/action/storage_attestation","attest_author":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S/action/author_attestation","sign_citation":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S/action/citation_signature","submit_replication":"https://pith.science/pith/FBBNFL3PJOEJTDZGC5LCKB7K3S/action/replication_record"}},"created_at":"2026-05-18T00:18:28.330581+00:00","updated_at":"2026-05-18T00:18:28.330581+00:00"}