{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7JOWEQXDY3PLVL46STZXQN56IL","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":"facb14bbde13fe175ca24a7904ea53e250597f41409400dbae2e7bd6e480dc73","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-18T02:36:34Z","title_canon_sha256":"f4700803ca7ea03debb83b7b724f56a4687ebd93f144dbd59f9651e9111fbac5"},"schema_version":"1.0","source":{"id":"1906.07347","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.07347","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"arxiv_version","alias_value":"1906.07347v2","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.07347","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"pith_short_12","alias_value":"7JOWEQXDY3PL","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"7JOWEQXDY3PLVL46","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"7JOWEQXD","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:a0ae82d7bb3a8a4abb80c876f4841969bbd60671ae3cf2a8c264fc4f5bdfb5e3","target":"graph","created_at":"2026-05-17T23:42:18Z","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"},"paper":{"abstract_excerpt":"Cardiac segmentation from late gadolinium enhancement MRI is an important task in clinics to identify and evaluate the infarction of myocardium. The automatic segmentation is however still challenging, due to the heterogeneous intensity distributions and indistinct boundaries in the images. In this paper, we propose a new method, based on deep neural networks (DNN), for fully automatic segmentation. The proposed network, referred to as SRSCN, comprises a shape reconstruction neural network (SRNN) and a spatial constraint network (SCN). SRNN aims to maintain a realistic shape of the resulting s","authors_text":"Lingchao Xu, Qian Yue, Qing Ye, Xiahai Zhuang, Xinzhe Luo","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-18T02:36:34Z","title":"Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.07347","kind":"arxiv","version":2},"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":"sha256:12e0bca27dd43cf757b9f6b8f4c93a7f4d42eb1ee1b1675ef77db2940b6f912e","target":"record","created_at":"2026-05-17T23:42:18Z","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":"facb14bbde13fe175ca24a7904ea53e250597f41409400dbae2e7bd6e480dc73","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-18T02:36:34Z","title_canon_sha256":"f4700803ca7ea03debb83b7b724f56a4687ebd93f144dbd59f9651e9111fbac5"},"schema_version":"1.0","source":{"id":"1906.07347","kind":"arxiv","version":2}},"canonical_sha256":"fa5d6242e3c6debaaf9e94f37837be42c18e8ac7fe76c0421429661a02242f0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa5d6242e3c6debaaf9e94f37837be42c18e8ac7fe76c0421429661a02242f0f","first_computed_at":"2026-05-17T23:42:18.426186Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:18.426186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7hr88tORCpcjzxwzoXCn+mysgr1CWIrZVtvNs458tjKNP2vSzhtrA/1n0yTfanbNJBBpxmpuT3gzd2DD8F9pBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:18.426648Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.07347","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12e0bca27dd43cf757b9f6b8f4c93a7f4d42eb1ee1b1675ef77db2940b6f912e","sha256:a0ae82d7bb3a8a4abb80c876f4841969bbd60671ae3cf2a8c264fc4f5bdfb5e3"],"state_sha256":"2e6164e11bf12074394dc9e004f22a3af107971baa49f2e8d0b178a19b694d77"}