{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:TN727YUROVV3YJ656HIAMJHTKI","short_pith_number":"pith:TN727YUR","schema_version":"1.0","canonical_sha256":"9b7fafe291756bbc27ddf1d00624f35205ffd242f82790badd214d073edcf396","source":{"kind":"arxiv","id":"2010.00907","version":2},"attestation_state":"computed","paper":{"title":"Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Axel Saalbach, Dmitry V. Dylov, Heinrich Schulz, Ilyas Sirazitdinov, Steffen Renisch","submitted_at":"2020-10-02T10:28:25Z","abstract_excerpt":"Chest X-ray is one of the most widespread examinations of the human body. In interventional radiology, its use is frequently associated with the need to visualize various tube-like objects, such as puncture needles, guiding sheaths, wires, and catheters. Detection and precise localization of these tube-like objects in the X-ray images is, therefore, of utmost value, catalyzing the development of accurate target-specific segmentation algorithms. Similar to the other medical imaging tasks, the manual pixel-wise annotation of the tubes is a resource-consuming process. In this work, we aim to alle"},"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":"2010.00907","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-10-02T10:28:25Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"ee294755e812c959c2d6d5c0f05c7cbbecb429d69801f13910feed781815364a","abstract_canon_sha256":"b33bab478e202d2036170dd261ed35ed645c28f46c607179e2142f2c5e754dfa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:15:21.457231Z","signature_b64":"qKASRnTwhaqfP0CnJ2d7TBTzgpV0juDy1+MRvziFs9eWYds+rwZ2vxiIu+BGgmEZXFFA0mxZr+F6FtaByiFYCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b7fafe291756bbc27ddf1d00624f35205ffd242f82790badd214d073edcf396","last_reissued_at":"2026-07-05T05:15:21.456761Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:15:21.456761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Axel Saalbach, Dmitry V. Dylov, Heinrich Schulz, Ilyas Sirazitdinov, Steffen Renisch","submitted_at":"2020-10-02T10:28:25Z","abstract_excerpt":"Chest X-ray is one of the most widespread examinations of the human body. In interventional radiology, its use is frequently associated with the need to visualize various tube-like objects, such as puncture needles, guiding sheaths, wires, and catheters. Detection and precise localization of these tube-like objects in the X-ray images is, therefore, of utmost value, catalyzing the development of accurate target-specific segmentation algorithms. Similar to the other medical imaging tasks, the manual pixel-wise annotation of the tubes is a resource-consuming process. In this work, we aim to alle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.00907","kind":"arxiv","version":2},"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/2010.00907/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":"2010.00907","created_at":"2026-07-05T05:15:21.456819+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.00907v2","created_at":"2026-07-05T05:15:21.456819+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.00907","created_at":"2026-07-05T05:15:21.456819+00:00"},{"alias_kind":"pith_short_12","alias_value":"TN727YUROVV3","created_at":"2026-07-05T05:15:21.456819+00:00"},{"alias_kind":"pith_short_16","alias_value":"TN727YUROVV3YJ65","created_at":"2026-07-05T05:15:21.456819+00:00"},{"alias_kind":"pith_short_8","alias_value":"TN727YUR","created_at":"2026-07-05T05:15:21.456819+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/TN727YUROVV3YJ656HIAMJHTKI","json":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI.json","graph_json":"https://pith.science/api/pith-number/TN727YUROVV3YJ656HIAMJHTKI/graph.json","events_json":"https://pith.science/api/pith-number/TN727YUROVV3YJ656HIAMJHTKI/events.json","paper":"https://pith.science/paper/TN727YUR"},"agent_actions":{"view_html":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI","download_json":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI.json","view_paper":"https://pith.science/paper/TN727YUR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.00907&json=true","fetch_graph":"https://pith.science/api/pith-number/TN727YUROVV3YJ656HIAMJHTKI/graph.json","fetch_events":"https://pith.science/api/pith-number/TN727YUROVV3YJ656HIAMJHTKI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI/action/storage_attestation","attest_author":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI/action/author_attestation","sign_citation":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI/action/citation_signature","submit_replication":"https://pith.science/pith/TN727YUROVV3YJ656HIAMJHTKI/action/replication_record"}},"created_at":"2026-07-05T05:15:21.456819+00:00","updated_at":"2026-07-05T05:15:21.456819+00:00"}