{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:SVBUW4E5IISUH7BLXMFQYAHLON","short_pith_number":"pith:SVBUW4E5","schema_version":"1.0","canonical_sha256":"95434b709d422543fc2bbb0b0c00eb735e67b531d91f3886e53529057b0fd03d","source":{"kind":"arxiv","id":"1609.01103","version":1},"attestation_state":"computed","paper":{"title":"Deep Retinal Image Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jordi Pont-Tuset, Kevis-Kokitsi Maninis, Luc Van Gool, Pablo Arbel\\'aez","submitted_at":"2016-09-05T11:20:30Z","abstract_excerpt":"This paper presents Deep Retinal Image Understanding (DRIU), a unified framework of retinal image analysis that provides both retinal vessel and optic disc segmentation. We make use of deep Convolutional Neural Networks (CNNs), which have proven revolutionary in other fields of computer vision such as object detection and image classification, and we bring their power to the study of eye fundus images. DRIU uses a base network architecture on which two set of specialized layers are trained to solve both the retinal vessel and optic disc segmentation. We present experimental validation, both qu"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1609.01103","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-05T11:20:30Z","cross_cats_sorted":[],"title_canon_sha256":"01ce5687dfa8d943a5c9c1dc0d0f945e2317182dbe0c6e31e54ad60852f805c3","abstract_canon_sha256":"1e81e432424b2bc7ced4b99c2a58565f96700214d9d2b738c84f19f9a20dcbc3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:28.403526Z","signature_b64":"zFcPaTdd+xY8JX9ZuLl/gNfDF3nIRZWQuMtrdyVCMKOi9GelQUrvrPbOsYWz1adDSE/NeyBxG9Dn8R0nsll+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95434b709d422543fc2bbb0b0c00eb735e67b531d91f3886e53529057b0fd03d","last_reissued_at":"2026-05-18T00:58:28.402894Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:28.402894Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Retinal Image Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jordi Pont-Tuset, Kevis-Kokitsi Maninis, Luc Van Gool, Pablo Arbel\\'aez","submitted_at":"2016-09-05T11:20:30Z","abstract_excerpt":"This paper presents Deep Retinal Image Understanding (DRIU), a unified framework of retinal image analysis that provides both retinal vessel and optic disc segmentation. We make use of deep Convolutional Neural Networks (CNNs), which have proven revolutionary in other fields of computer vision such as object detection and image classification, and we bring their power to the study of eye fundus images. DRIU uses a base network architecture on which two set of specialized layers are trained to solve both the retinal vessel and optic disc segmentation. We present experimental validation, both qu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.01103","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1609.01103","created_at":"2026-05-18T00:58:28.402987+00:00"},{"alias_kind":"arxiv_version","alias_value":"1609.01103v1","created_at":"2026-05-18T00:58:28.402987+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.01103","created_at":"2026-05-18T00:58:28.402987+00:00"},{"alias_kind":"pith_short_12","alias_value":"SVBUW4E5IISU","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_16","alias_value":"SVBUW4E5IISUH7BL","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_8","alias_value":"SVBUW4E5","created_at":"2026-05-18T12:30:44.179134+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON","json":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON.json","graph_json":"https://pith.science/api/pith-number/SVBUW4E5IISUH7BLXMFQYAHLON/graph.json","events_json":"https://pith.science/api/pith-number/SVBUW4E5IISUH7BLXMFQYAHLON/events.json","paper":"https://pith.science/paper/SVBUW4E5"},"agent_actions":{"view_html":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON","download_json":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON.json","view_paper":"https://pith.science/paper/SVBUW4E5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1609.01103&json=true","fetch_graph":"https://pith.science/api/pith-number/SVBUW4E5IISUH7BLXMFQYAHLON/graph.json","fetch_events":"https://pith.science/api/pith-number/SVBUW4E5IISUH7BLXMFQYAHLON/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON/action/storage_attestation","attest_author":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON/action/author_attestation","sign_citation":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON/action/citation_signature","submit_replication":"https://pith.science/pith/SVBUW4E5IISUH7BLXMFQYAHLON/action/replication_record"}},"created_at":"2026-05-18T00:58:28.402987+00:00","updated_at":"2026-05-18T00:58:28.402987+00:00"}