{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:JHBYZI3AXVD6EMEQ5SW5BH5GIW","short_pith_number":"pith:JHBYZI3A","schema_version":"1.0","canonical_sha256":"49c38ca360bd47e23090ecadd09fa6459e2753c47754697cb90c29a9afcdb7e7","source":{"kind":"arxiv","id":"2309.12114","version":2},"attestation_state":"computed","paper":{"title":"AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Matthias Hadlich, Rainer Stiefelhagen, Zdravko Marinov","submitted_at":"2023-09-21T14:34:17Z","abstract_excerpt":"Tumor segmentation in medical imaging is crucial and relies on precise delineation. Fluorodeoxyglucose Positron-Emission Tomography (FDG-PET) is widely used in clinical practice to detect metabolically active tumors. However, FDG-PET scans may misinterpret irregular glucose consumption in healthy or benign tissues as cancer. Combining PET with Computed Tomography (CT) can enhance tumor segmentation by integrating metabolic and anatomic information. FDG-PET/CT scans are pivotal for cancer staging and reassessment, utilizing radiolabeled fluorodeoxyglucose to highlight metabolically active regio"},"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":"2309.12114","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-09-21T14:34:17Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"cd12a80afc8f72f12e7a529ad7d8887228b59a2463d43577835bbba98621a170","abstract_canon_sha256":"b39435e9902f92e4f2b1e8c8d13b9251e1db9c6fb0994393823a6cbb397e8ab9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:57:10.813244Z","signature_b64":"q6yXNrqsASn3RFeghIzirNrb5svjxRq2r/E0wp6vYRElYfqOck0Wg3+30UiHi5wEeCHy0iM04yJF1u2lIL5GCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49c38ca360bd47e23090ecadd09fa6459e2753c47754697cb90c29a9afcdb7e7","last_reissued_at":"2026-07-05T06:57:10.812871Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:57:10.812871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Matthias Hadlich, Rainer Stiefelhagen, Zdravko Marinov","submitted_at":"2023-09-21T14:34:17Z","abstract_excerpt":"Tumor segmentation in medical imaging is crucial and relies on precise delineation. Fluorodeoxyglucose Positron-Emission Tomography (FDG-PET) is widely used in clinical practice to detect metabolically active tumors. However, FDG-PET scans may misinterpret irregular glucose consumption in healthy or benign tissues as cancer. Combining PET with Computed Tomography (CT) can enhance tumor segmentation by integrating metabolic and anatomic information. FDG-PET/CT scans are pivotal for cancer staging and reassessment, utilizing radiolabeled fluorodeoxyglucose to highlight metabolically active regio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.12114","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/2309.12114/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":"2309.12114","created_at":"2026-07-05T06:57:10.812929+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.12114v2","created_at":"2026-07-05T06:57:10.812929+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.12114","created_at":"2026-07-05T06:57:10.812929+00:00"},{"alias_kind":"pith_short_12","alias_value":"JHBYZI3AXVD6","created_at":"2026-07-05T06:57:10.812929+00:00"},{"alias_kind":"pith_short_16","alias_value":"JHBYZI3AXVD6EMEQ","created_at":"2026-07-05T06:57:10.812929+00:00"},{"alias_kind":"pith_short_8","alias_value":"JHBYZI3A","created_at":"2026-07-05T06:57:10.812929+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/JHBYZI3AXVD6EMEQ5SW5BH5GIW","json":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW.json","graph_json":"https://pith.science/api/pith-number/JHBYZI3AXVD6EMEQ5SW5BH5GIW/graph.json","events_json":"https://pith.science/api/pith-number/JHBYZI3AXVD6EMEQ5SW5BH5GIW/events.json","paper":"https://pith.science/paper/JHBYZI3A"},"agent_actions":{"view_html":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW","download_json":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW.json","view_paper":"https://pith.science/paper/JHBYZI3A","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.12114&json=true","fetch_graph":"https://pith.science/api/pith-number/JHBYZI3AXVD6EMEQ5SW5BH5GIW/graph.json","fetch_events":"https://pith.science/api/pith-number/JHBYZI3AXVD6EMEQ5SW5BH5GIW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW/action/storage_attestation","attest_author":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW/action/author_attestation","sign_citation":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW/action/citation_signature","submit_replication":"https://pith.science/pith/JHBYZI3AXVD6EMEQ5SW5BH5GIW/action/replication_record"}},"created_at":"2026-07-05T06:57:10.812929+00:00","updated_at":"2026-07-05T06:57:10.812929+00:00"}