{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LSKRWA6CBIWTTK5GMBWATTY6PC","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":"56edf8b0b065a10d52be0d07fb0bfab6570941716b5314ac4d84775e7ed28bd7","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T17:54:41Z","title_canon_sha256":"359c5a4ced51da93eba56033cead6238586fdc9f738999fd463f2b469e009697"},"schema_version":"1.0","source":{"id":"1807.03135","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.03135","created_at":"2026-05-18T00:11:12Z"},{"alias_kind":"arxiv_version","alias_value":"1807.03135v1","created_at":"2026-05-18T00:11:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.03135","created_at":"2026-05-18T00:11:12Z"},{"alias_kind":"pith_short_12","alias_value":"LSKRWA6CBIWT","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LSKRWA6CBIWTTK5G","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LSKRWA6C","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:66d7544401a6ed206e9db791d6d9975a4d92cd97898e7127217adb200492878d","target":"graph","created_at":"2026-05-18T00:11:12Z","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":"Detection of cell nuclei in microscopic images is a challenging research topic, because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying nuclei shapes, sizes, and overlaps between multiple cell nuclei. This has been a topic of enduring interest with promising recent success shown by deep learning methods. These methods train for example convolutional neural networks (CNNs) with a training set of input images and known, labeled nuclei locations. Many of these methods are supplemented by spatial or morphological processing. We develop a new approach that","authors_text":"Jairam K.P. Vanamala, Mohammad Tofighi, Tiantong Guo, Vishal Monga","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T17:54:41Z","title":"Deep Networks with Shape Priors for Nucleus Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.03135","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:ed7afa5b5b87afe4395bf56369cec8d4e8f1eee0df9fd38fbff57af81f61e395","target":"record","created_at":"2026-05-18T00:11:12Z","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":"56edf8b0b065a10d52be0d07fb0bfab6570941716b5314ac4d84775e7ed28bd7","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-29T17:54:41Z","title_canon_sha256":"359c5a4ced51da93eba56033cead6238586fdc9f738999fd463f2b469e009697"},"schema_version":"1.0","source":{"id":"1807.03135","kind":"arxiv","version":1}},"canonical_sha256":"5c951b03c20a2d39aba6606c09cf1e7888a62c95adc2ab863b26a75c2d7a3eb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c951b03c20a2d39aba6606c09cf1e7888a62c95adc2ab863b26a75c2d7a3eb7","first_computed_at":"2026-05-18T00:11:12.674800Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:12.674800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JrfrYuN4C7OVxSERI+jiKVFFrfb5vDGN5p8Mz3qCYJGAojmJRz6gSXs6QxXNO0890D0OSroi52ml2y/s88DDBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:12.675596Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.03135","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed7afa5b5b87afe4395bf56369cec8d4e8f1eee0df9fd38fbff57af81f61e395","sha256:66d7544401a6ed206e9db791d6d9975a4d92cd97898e7127217adb200492878d"],"state_sha256":"fc1c1bf895aa8236ce0efaf5d0ff0ca33032c87b5059e03acb5d9b7ea3aebbce"}