{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:MN2LEA4C6APH3NB7BW7SDWC6TX","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":"28eb16e9f021f79b967b73a5142960750cd236cc4feb77679e6f4cf71c96c3b4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-14T04:06:28Z","title_canon_sha256":"4726bbadd4411c780580e815a8b81d085ff22d03b0110b146bfb3eb6cd45adb2"},"schema_version":"1.0","source":{"id":"2011.08655","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.08655","created_at":"2026-07-05T01:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"2011.08655v1","created_at":"2026-07-05T01:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.08655","created_at":"2026-07-05T01:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"MN2LEA4C6APH","created_at":"2026-07-05T01:52:07Z"},{"alias_kind":"pith_short_16","alias_value":"MN2LEA4C6APH3NB7","created_at":"2026-07-05T01:52:07Z"},{"alias_kind":"pith_short_8","alias_value":"MN2LEA4C","created_at":"2026-07-05T01:52:07Z"}],"graph_snapshots":[{"event_id":"sha256:dd788411519af7a954c8cb66ee8db6acc3d5b12d955240ec5c703f595aaabac8","target":"graph","created_at":"2026-07-05T01:52:07Z","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/2011.08655/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images. Most DNNs developed for this purpose are based on some variation of the encoder-decoder U-Net architecture. Here we show that Res-CR-Net, a new type of fully convolutional neural network, which was originally developed for the semantic segmentation of microscopy images, and which does not adopt a U-Net architecture, is very effective at segmenting the lung fields in chest X-rays from either healthy patients or patients with a variety of lung pathologies.","authors_text":"Benjamin Huber, Domenico L. Gatti, Haikal Abdulah, Hamid Soltanian-Zadeh, Hassan Abdallah, Sinan Lal","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-14T04:06:28Z","title":"Lung Segmentation in Chest X-rays with Res-CR-Net"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.08655","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:c8ee4d389369f32b446d1bcaf9b2f2f8e80a30e77d56a7cb128d34fc6fdf12ba","target":"record","created_at":"2026-07-05T01:52:07Z","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":"28eb16e9f021f79b967b73a5142960750cd236cc4feb77679e6f4cf71c96c3b4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-14T04:06:28Z","title_canon_sha256":"4726bbadd4411c780580e815a8b81d085ff22d03b0110b146bfb3eb6cd45adb2"},"schema_version":"1.0","source":{"id":"2011.08655","kind":"arxiv","version":1}},"canonical_sha256":"6374b20382f01e7db43f0dbf21d85e9df798dba220d3f95934667a20d1436246","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6374b20382f01e7db43f0dbf21d85e9df798dba220d3f95934667a20d1436246","first_computed_at":"2026-07-05T01:52:07.467596Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:52:07.467596Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2bg8pVQJPHm5oGzgZ4T4sAU9on+u4EzFsmhGbmkh59tDmQjCzpbmGG3RoINqcwTN7X3htxFSvdoUqjrZpD4uAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:52:07.468006Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.08655","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8ee4d389369f32b446d1bcaf9b2f2f8e80a30e77d56a7cb128d34fc6fdf12ba","sha256:dd788411519af7a954c8cb66ee8db6acc3d5b12d955240ec5c703f595aaabac8"],"state_sha256":"3da2740d75eb2e5009664b640ae00a65c50d6880905b356ed34c4962a948c27d"}