{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:7PEZC2NYX73SGY3CYD6OSFLBMU","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":"d1d23a9ee3760eb25729b1b186fb47d4ad5cc1d94a8082d13294ec628c500293","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-11T15:50:24Z","title_canon_sha256":"2e3af2cc88d8e182d25f951cf4bcd9eeeaeb7206dcc8b9116812c82253b15f0c"},"schema_version":"1.0","source":{"id":"1709.03450","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.03450","created_at":"2026-05-18T00:35:36Z"},{"alias_kind":"arxiv_version","alias_value":"1709.03450v1","created_at":"2026-05-18T00:35:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03450","created_at":"2026-05-18T00:35:36Z"},{"alias_kind":"pith_short_12","alias_value":"7PEZC2NYX73S","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7PEZC2NYX73SGY3C","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7PEZC2NY","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:777121b7ab79b8e66c8702e8cde93ec1a6af559b26531be28b40ab6a339c59a1","target":"graph","created_at":"2026-05-18T00:35:36Z","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":"For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data sets need to be processed for a highly accurate result, semi-automatic segmentation techniques exhibit a clear benefit for the user. One area of application is medical image processing during an intervention for a single patient. We propose a learning-based cooperative segmentation approach which includes the computing entity as well as the user into the task. Our system builds upon a state-of-the-art fully convolut","authors_text":"Andreas Maier, Frank Schebesch, Maddalena Strumia, Mario Amrehn, Markus Kowarschik, Mathias Unberath, Stefan Steidl, Sven Gaube, Tim Horz","cross_cats":["cs.AI","cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-11T15:50:24Z","title":"UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03450","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:c99714a68827bad59c2b2da1195cc948c76e8f365f1ac7e6d9a458869ef56503","target":"record","created_at":"2026-05-18T00:35:36Z","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":"d1d23a9ee3760eb25729b1b186fb47d4ad5cc1d94a8082d13294ec628c500293","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-11T15:50:24Z","title_canon_sha256":"2e3af2cc88d8e182d25f951cf4bcd9eeeaeb7206dcc8b9116812c82253b15f0c"},"schema_version":"1.0","source":{"id":"1709.03450","kind":"arxiv","version":1}},"canonical_sha256":"fbc99169b8bff7236362c0fce9156165329d96459208c5ec9715c2e996023ed0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fbc99169b8bff7236362c0fce9156165329d96459208c5ec9715c2e996023ed0","first_computed_at":"2026-05-18T00:35:36.670610Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:36.670610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qm3u8AGRDMCKNwTEDMVCT8AD/QSh9hA8xglXhe1NiFhPKWhUYUulw+jjF6crfDjYSnZx2ZmLq4erw5AZ0ujLBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:36.671024Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.03450","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c99714a68827bad59c2b2da1195cc948c76e8f365f1ac7e6d9a458869ef56503","sha256:777121b7ab79b8e66c8702e8cde93ec1a6af559b26531be28b40ab6a339c59a1"],"state_sha256":"30f330e4102ace8f48ed156715767ec52e3a2e74c8fd95ee555f598d224fbd8c"}