{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:VXC2F6WME4FDEQC3F4SYUZELTS","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":"cd59bafd6d3bbf4433551378dce040365136d17e45978b53cb0d454f13248d5c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-16T19:17:16Z","title_canon_sha256":"3da808d13b11729858d0d90e54a8dc6873f4fcef8d521af973ef2033bffda2fc"},"schema_version":"1.0","source":{"id":"1707.04931","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.04931","created_at":"2026-05-18T00:40:11Z"},{"alias_kind":"arxiv_version","alias_value":"1707.04931v1","created_at":"2026-05-18T00:40:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.04931","created_at":"2026-05-18T00:40:11Z"},{"alias_kind":"pith_short_12","alias_value":"VXC2F6WME4FD","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VXC2F6WME4FDEQC3","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VXC2F6WM","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:3ec020287565d886e8a06768494f7314a9d736de4c84e4b903cddd65c80bf96d","target":"graph","created_at":"2026-05-18T00:40:11Z","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":"The automatic segmentation of retinal layer structures enables clinically-relevant quantification and monitoring of eye disorders over time in OCT imaging. Eyes with late-stage diseases are particularly challenging to segment, as their shape is highly warped due to pathological biomarkers. In this context, we propose a novel fully Convolutional Neural Network (CNN) architecture which combines dilated residual blocks in an asymmetric U-shape configuration, and can segment multiple layers of highly pathological eyes in one shot. We validate our approach on a dataset of late-stage AMD patients an","authors_text":"Carlos Ciller, Raphael Sznitman, Sandro De Zanet, Sebastian Wolf, Stefanos Apostolopoulos","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-16T19:17:16Z","title":"Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.04931","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":"sha256:1eb396f7647fb580c6224d61844cbc834f89976597821272ea4e3a56f420c73c","target":"record","created_at":"2026-05-18T00:40:11Z","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":"cd59bafd6d3bbf4433551378dce040365136d17e45978b53cb0d454f13248d5c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-16T19:17:16Z","title_canon_sha256":"3da808d13b11729858d0d90e54a8dc6873f4fcef8d521af973ef2033bffda2fc"},"schema_version":"1.0","source":{"id":"1707.04931","kind":"arxiv","version":1}},"canonical_sha256":"adc5a2facc270a32405b2f258a648b9cb25eee15c7ae4dc3edf9ddefd3ea057a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"adc5a2facc270a32405b2f258a648b9cb25eee15c7ae4dc3edf9ddefd3ea057a","first_computed_at":"2026-05-18T00:40:11.754467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:11.754467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Uujt9ffPUqvPpG00elSNNryrFhXCnJybyhPiCVV5Px7KYtWcNE6DtKHyunRHaJ3GYJSGEJ0XtFQaigqI+HRxDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:11.755154Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.04931","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1eb396f7647fb580c6224d61844cbc834f89976597821272ea4e3a56f420c73c","sha256:3ec020287565d886e8a06768494f7314a9d736de4c84e4b903cddd65c80bf96d"],"state_sha256":"92490332631d31b39883bf5f488e8e4ed3abd72b81c3c9383f54336840c95730"}