{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:OGYCUTLD4M5EPATDRZ3MDUZWJT","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"586fd0170321acaf2edf868bc44a8469d876fc27dc27c97fae2bf0a4901f8a61","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:33Z","title_canon_sha256":"ed4e874931727faa1345043ec88ac8a45ea2fc9f39e877c64846c44bf4cb00d7"},"schema_version":"1.0","source":{"id":"2006.06277","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06277","created_at":"2026-07-05T01:09:32Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06277v1","created_at":"2026-07-05T01:09:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06277","created_at":"2026-07-05T01:09:32Z"},{"alias_kind":"pith_short_12","alias_value":"OGYCUTLD4M5E","created_at":"2026-07-05T01:09:32Z"},{"alias_kind":"pith_short_16","alias_value":"OGYCUTLD4M5EPATD","created_at":"2026-07-05T01:09:32Z"},{"alias_kind":"pith_short_8","alias_value":"OGYCUTLD","created_at":"2026-07-05T01:09:32Z"}],"graph_snapshots":[{"event_id":"sha256:106233b35b84e8fdd8bd2a04acb5459f52f1bcbb8d1646216a0f6b041cfb4ff8","target":"graph","created_at":"2026-07-05T01:09:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2006.06277/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation of multiple anatomical structures is of great importance in medical image analysis. In this study, we proposed a $\\mathcal{W}$-net to simultaneously segment both the optic disc (OD) and the exudates in retinal images based on the multi-task learning (MTL) scheme. We introduced a class-balanced loss and a multi-task weighted loss to alleviate the imbalanced problem and to improve the robustness and generalization property of the $\\mathcal{W}$-net. We demonstrated the effectiveness of our approach by applying five-fold cross-validation experiments on two public datasets e\\_ophtha\\_E","authors_text":"Bin Li, Chengtao Peng, Hongwei Zhao, Lei Liu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:33Z","title":"W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06277","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9b4ba7e8cee26e475efae84358a7a2687aa20629fafb0a5f0d261003d530504b","target":"record","created_at":"2026-07-05T01:09:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"586fd0170321acaf2edf868bc44a8469d876fc27dc27c97fae2bf0a4901f8a61","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:33Z","title_canon_sha256":"ed4e874931727faa1345043ec88ac8a45ea2fc9f39e877c64846c44bf4cb00d7"},"schema_version":"1.0","source":{"id":"2006.06277","kind":"arxiv","version":1}},"canonical_sha256":"71b02a4d63e33a4782638e76c1d3364cffb8dddfcad9635e7fd051236af33545","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71b02a4d63e33a4782638e76c1d3364cffb8dddfcad9635e7fd051236af33545","first_computed_at":"2026-07-05T01:09:32.365022Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:09:32.365022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5lI+NZI3YF6auJv3/aoK/Hj7m4LAxQXPVLmvrEKLBAlkFdJkpSbZ+qZNFt8JfrYuVWGp+yZKk48k1riYWsyZBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:09:32.365528Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.06277","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b4ba7e8cee26e475efae84358a7a2687aa20629fafb0a5f0d261003d530504b","sha256:106233b35b84e8fdd8bd2a04acb5459f52f1bcbb8d1646216a0f6b041cfb4ff8"],"state_sha256":"10a605a7e98ccf993d1c744be12816f738d795f249e3676d3d033ba31e25206d"}