{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:PE5FYJEQVFI323DCS5YV7KTFY5","short_pith_number":"pith:PE5FYJEQ","schema_version":"1.0","canonical_sha256":"793a5c2490a951bd6c6297715faa65c771539c7748d5dd0db2f49fe87bdfd6da","source":{"kind":"arxiv","id":"1905.08416","version":1},"attestation_state":"computed","paper":{"title":"A novel algorithm for segmentation of leukocytes in peripheral blood","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Enmin Song, Haichao Cao, Hong Liu","submitted_at":"2019-05-21T03:04:14Z","abstract_excerpt":"In the detection of anemia, leukemia and other blood diseases, the number and type of leukocytes are essential evaluation parameters. However, the conventional leukocyte counting method is not only quite time-consuming but also error-prone. Consequently, many automation methods are introduced for the diagnosis of medical images. It remains difficult to accurately extract related features and count the number of cells under the variable conditions such as background, staining method, staining degree, light conditions and so on. Therefore, in order to adapt to various complex situations, we cons"},"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":"1905.08416","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-21T03:04:14Z","cross_cats_sorted":[],"title_canon_sha256":"ab26c7fea698b8540170ed9ca842e2ff10872cebda5a9ba78e888bcb226f2e9d","abstract_canon_sha256":"e24348ce00ba6f39f6f916bd8767f9053c117178d57a46db3cf7c9c585560289"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:43.304006Z","signature_b64":"bS8jwmja/EZrSNpY/HGXa8r+NtvT7c1/gqZCJptKytDOmtK/9DvlRL9GLigiTHD4A5toldLw1bcubav6PWioCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"793a5c2490a951bd6c6297715faa65c771539c7748d5dd0db2f49fe87bdfd6da","last_reissued_at":"2026-05-17T23:45:43.303360Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:43.303360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A novel algorithm for segmentation of leukocytes in peripheral blood","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Enmin Song, Haichao Cao, Hong Liu","submitted_at":"2019-05-21T03:04:14Z","abstract_excerpt":"In the detection of anemia, leukemia and other blood diseases, the number and type of leukocytes are essential evaluation parameters. However, the conventional leukocyte counting method is not only quite time-consuming but also error-prone. Consequently, many automation methods are introduced for the diagnosis of medical images. It remains difficult to accurately extract related features and count the number of cells under the variable conditions such as background, staining method, staining degree, light conditions and so on. Therefore, in order to adapt to various complex situations, we cons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.08416","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":"1905.08416","created_at":"2026-05-17T23:45:43.303468+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.08416v1","created_at":"2026-05-17T23:45:43.303468+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.08416","created_at":"2026-05-17T23:45:43.303468+00:00"},{"alias_kind":"pith_short_12","alias_value":"PE5FYJEQVFI3","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"PE5FYJEQVFI323DC","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"PE5FYJEQ","created_at":"2026-05-18T12:33:24.271573+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/PE5FYJEQVFI323DCS5YV7KTFY5","json":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5.json","graph_json":"https://pith.science/api/pith-number/PE5FYJEQVFI323DCS5YV7KTFY5/graph.json","events_json":"https://pith.science/api/pith-number/PE5FYJEQVFI323DCS5YV7KTFY5/events.json","paper":"https://pith.science/paper/PE5FYJEQ"},"agent_actions":{"view_html":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5","download_json":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5.json","view_paper":"https://pith.science/paper/PE5FYJEQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.08416&json=true","fetch_graph":"https://pith.science/api/pith-number/PE5FYJEQVFI323DCS5YV7KTFY5/graph.json","fetch_events":"https://pith.science/api/pith-number/PE5FYJEQVFI323DCS5YV7KTFY5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5/action/storage_attestation","attest_author":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5/action/author_attestation","sign_citation":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5/action/citation_signature","submit_replication":"https://pith.science/pith/PE5FYJEQVFI323DCS5YV7KTFY5/action/replication_record"}},"created_at":"2026-05-17T23:45:43.303468+00:00","updated_at":"2026-05-17T23:45:43.303468+00:00"}