{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XM2N5SHB5ZYXK3RBB4O4C34OKF","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":"5254d03c5cc7b1b19fc37c969bddc6efc5a06ac572aa74e8cfe6766e6d56b8ee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-09-09T15:57:51Z","title_canon_sha256":"fe5a293206a45054a52492711a0291fb709305cfa492a2cd6d282b2e549705c8"},"schema_version":"1.0","source":{"id":"1709.02967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02967","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02967v1","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02967","created_at":"2026-05-18T00:35:39Z"},{"alias_kind":"pith_short_12","alias_value":"XM2N5SHB5ZYX","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XM2N5SHB5ZYXK3RB","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XM2N5SHB","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:47b7b82b102207d151baf36cda9fe3ed09d8958c2cf23a66c121e616f60947b6","target":"graph","created_at":"2026-05-18T00:35:39Z","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":"Deep learning has quickly become the weapon of choice for brain lesion segmentation. However, few existing algorithms pre-configure any biological context of their chosen segmentation tissues, and instead rely on the neural network's optimizer to develop such associations de novo. We present a novel method for applying deep neural networks to the problem of glioma tissue segmentation that takes into account the structured nature of gliomas - edematous tissue surrounding mutually-exclusive regions of enhancing and non-enhancing tumor. We trained multiple deep neural networks with a 3D U-Net arc","authors_text":"Andrew Beers, Bruce Rosen, CP Mammen, Elizabeth Gerstner, Emmett Sartor, James Brown, Jayashree Kalpathy-Cramer, Ken Chang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-09-09T15:57:51Z","title":"Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02967","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":"sha256:71b6ab93e9d7b26e08879311e9b667fc4973b3097c2dde2d34477b5fb0a10395","target":"record","created_at":"2026-05-18T00:35:39Z","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":"5254d03c5cc7b1b19fc37c969bddc6efc5a06ac572aa74e8cfe6766e6d56b8ee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2017-09-09T15:57:51Z","title_canon_sha256":"fe5a293206a45054a52492711a0291fb709305cfa492a2cd6d282b2e549705c8"},"schema_version":"1.0","source":{"id":"1709.02967","kind":"arxiv","version":1}},"canonical_sha256":"bb34dec8e1ee71756e210f1dc16f8e516a45db13faa8ed364886d865c52f1700","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb34dec8e1ee71756e210f1dc16f8e516a45db13faa8ed364886d865c52f1700","first_computed_at":"2026-05-18T00:35:39.888196Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:39.888196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wTGvr5iQ5aLbzW7k2/9VnW2QOfW9701IzF4qM8ncLZdX3HT/p5ybq4YaZZ4Uka7UJUi45DPRtZspKNJTLRjnBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:39.888848Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.02967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71b6ab93e9d7b26e08879311e9b667fc4973b3097c2dde2d34477b5fb0a10395","sha256:47b7b82b102207d151baf36cda9fe3ed09d8958c2cf23a66c121e616f60947b6"],"state_sha256":"7f80657cd8f15fe3cf244e8bb9b5e1dfe86644a501a841face1c9cf891235845"}