{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:3OEMCKRFGQHT7SY67RS6BF2COL","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":"a8ad230269adfa86d259d4a411f170522769660cc03cd337b4a80ee42520319a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.TO","submitted_at":"2016-12-30T08:27:04Z","title_canon_sha256":"dffcb7834e549a96911016d920e59a917479dd25fea664ff2ea6561682312e99"},"schema_version":"1.0","source":{"id":"1612.09420","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.09420","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"arxiv_version","alias_value":"1612.09420v1","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.09420","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"pith_short_12","alias_value":"3OEMCKRFGQHT","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"3OEMCKRFGQHT7SY6","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"3OEMCKRF","created_at":"2026-05-18T12:29:55Z"}],"graph_snapshots":[{"event_id":"sha256:1b9402ddf5f75169aa99ad4066a96c08c87c7c4d5ff1abd5732c9879029fc248","target":"graph","created_at":"2026-05-18T00:53:41Z","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":"This paper addresses the problem of quantifying biomarkers in multi-stained tissues, based on color and spatial information. A deep learning based method that can automatically localize and quantify the cells expressing biomarker(s) in a whole slide image is proposed. The deep learning network is a fully convolutional network (FCN) whose input is the true RGB color image of a tissue and output is a map of the different biomarkers. The FCN relies on a convolutional neural network (CNN) that classifies each cell separately according to the biomarker it expresses. In this study, images of immunoh","authors_text":"Fahime Sheikhzadeh, Martial Guillaud, Rabab K. Ward","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.TO","submitted_at":"2016-12-30T08:27:04Z","title":"Automatic labeling of molecular biomarkers of whole slide immunohistochemistry images using fully convolutional networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.09420","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":"sha256:03b3b7669a6303a06957bb15721c4b7856bb3505168cb5c5febd58d3d75baeb7","target":"record","created_at":"2026-05-18T00:53:41Z","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":"a8ad230269adfa86d259d4a411f170522769660cc03cd337b4a80ee42520319a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.TO","submitted_at":"2016-12-30T08:27:04Z","title_canon_sha256":"dffcb7834e549a96911016d920e59a917479dd25fea664ff2ea6561682312e99"},"schema_version":"1.0","source":{"id":"1612.09420","kind":"arxiv","version":1}},"canonical_sha256":"db88c12a25340f3fcb1efc65e0974272d477c413c03ddec5a72a1ac3fd6f99f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db88c12a25340f3fcb1efc65e0974272d477c413c03ddec5a72a1ac3fd6f99f3","first_computed_at":"2026-05-18T00:53:41.566738Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:41.566738Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y6w5E5nL6JKQXCfIfZBE7VxUDwlTbL3FEmM+Zfd/fmRLN+no4tIbjeuTLIJyt1ixQ0QchwyVnTfT5QVjjql8Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:41.567238Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.09420","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03b3b7669a6303a06957bb15721c4b7856bb3505168cb5c5febd58d3d75baeb7","sha256:1b9402ddf5f75169aa99ad4066a96c08c87c7c4d5ff1abd5732c9879029fc248"],"state_sha256":"074cf2c58bcdbcf126590d3e90162bcb17a4474f5f626884a1c1356344fc7a5b"}