{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:RFIWGRM3OGIMOAA64G4I3PA2UN","short_pith_number":"pith:RFIWGRM3","schema_version":"1.0","canonical_sha256":"895163459b7190c7001ee1b88dbc1aa36be7efab05faa9dfd741a5b85f995aca","source":{"kind":"arxiv","id":"1910.12010","version":1},"attestation_state":"computed","paper":{"title":"Dense Dilated Network with Probability Regularized Walk for Vessel Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jiang Liu, Jun Cheng, Lei Mou, Li Chen, Yitian Zhao, Zaiwang Gu","submitted_at":"2019-10-26T06:44:11Z","abstract_excerpt":"The detection of retinal vessel is of great importance in the diagnosis and treatment of many ocular diseases. Many methods have been proposed for vessel detection. However, most of the algorithms neglect the connectivity of the vessels, which plays an important role in the diagnosis. In this paper, we propose a novel method for retinal vessel detection. The proposed method includes a dense dilated network to get an initial detection of the vessels and a probability regularized walk algorithm to address the fracture issue in the initial detection. The dense dilated network integrates newly pro"},"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":"1910.12010","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-10-26T06:44:11Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"92afc3b6bcacac08960f719d3972fcf7c45cc3f5d60ee60275142102baf596c8","abstract_canon_sha256":"a21a6ae7ce245e9923a7053fd9961a28301fddee024361d629aa62e951012f67"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:15:11.902617Z","signature_b64":"fPdla0DIoowaImkQ0kXlWrigz2o54Ur9CHksBi06NHjTGExw2u0pxli7pYfrAD3anGYbwxJZjZVLqp+CwK27BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"895163459b7190c7001ee1b88dbc1aa36be7efab05faa9dfd741a5b85f995aca","last_reissued_at":"2026-07-05T00:15:11.902217Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:15:11.902217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dense Dilated Network with Probability Regularized Walk for Vessel Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jiang Liu, Jun Cheng, Lei Mou, Li Chen, Yitian Zhao, Zaiwang Gu","submitted_at":"2019-10-26T06:44:11Z","abstract_excerpt":"The detection of retinal vessel is of great importance in the diagnosis and treatment of many ocular diseases. Many methods have been proposed for vessel detection. However, most of the algorithms neglect the connectivity of the vessels, which plays an important role in the diagnosis. In this paper, we propose a novel method for retinal vessel detection. The proposed method includes a dense dilated network to get an initial detection of the vessels and a probability regularized walk algorithm to address the fracture issue in the initial detection. The dense dilated network integrates newly pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.12010","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1910.12010/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":"1910.12010","created_at":"2026-07-05T00:15:11.902271+00:00"},{"alias_kind":"arxiv_version","alias_value":"1910.12010v1","created_at":"2026-07-05T00:15:11.902271+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.12010","created_at":"2026-07-05T00:15:11.902271+00:00"},{"alias_kind":"pith_short_12","alias_value":"RFIWGRM3OGIM","created_at":"2026-07-05T00:15:11.902271+00:00"},{"alias_kind":"pith_short_16","alias_value":"RFIWGRM3OGIMOAA6","created_at":"2026-07-05T00:15:11.902271+00:00"},{"alias_kind":"pith_short_8","alias_value":"RFIWGRM3","created_at":"2026-07-05T00:15:11.902271+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/RFIWGRM3OGIMOAA64G4I3PA2UN","json":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN.json","graph_json":"https://pith.science/api/pith-number/RFIWGRM3OGIMOAA64G4I3PA2UN/graph.json","events_json":"https://pith.science/api/pith-number/RFIWGRM3OGIMOAA64G4I3PA2UN/events.json","paper":"https://pith.science/paper/RFIWGRM3"},"agent_actions":{"view_html":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN","download_json":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN.json","view_paper":"https://pith.science/paper/RFIWGRM3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1910.12010&json=true","fetch_graph":"https://pith.science/api/pith-number/RFIWGRM3OGIMOAA64G4I3PA2UN/graph.json","fetch_events":"https://pith.science/api/pith-number/RFIWGRM3OGIMOAA64G4I3PA2UN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN/action/storage_attestation","attest_author":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN/action/author_attestation","sign_citation":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN/action/citation_signature","submit_replication":"https://pith.science/pith/RFIWGRM3OGIMOAA64G4I3PA2UN/action/replication_record"}},"created_at":"2026-07-05T00:15:11.902271+00:00","updated_at":"2026-07-05T00:15:11.902271+00:00"}