{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:Z2HHW2F6H2PNGLGUQCKSC3E7DQ","short_pith_number":"pith:Z2HHW2F6","schema_version":"1.0","canonical_sha256":"ce8e7b68be3e9ed32cd48095216c9f1c2e5e485fdd058a1981731aa2eaec5762","source":{"kind":"arxiv","id":"1804.07098","version":1},"attestation_state":"computed","paper":{"title":"Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Geert Litjens, Wouter Bulten","submitted_at":"2018-04-19T11:40:23Z","abstract_excerpt":"We propose an unsupervised method using self-clustering convolutional adversarial autoencoders to classify prostate tissue as tumor or non-tumor without any labeled training data. The clustering method is integrated into the training of the autoencoder and requires only little post-processing. Our network trains on hematoxylin and eosin (H&E) input patches and we tested two different reconstruction targets, H&E and immunohistochemistry (IHC). We show that antibody-driven feature learning using IHC helps the network to learn relevant features for the clustering task. Our network achieves a F1 s"},"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":"1804.07098","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-19T11:40:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"357ae4cd640a1ca695acf1992cd4548910d794691d984163e101fdd61d74d880","abstract_canon_sha256":"e78e422f9caf03360d77b11ef4c56e4f668bc6f1e1d2ed0dff1e21e39641a28e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:01.509616Z","signature_b64":"BKMo1qBtlP+TjRrUsWiJlhQvl9rDasSsmoiULnYxG6eF0zxpN45naTPhG8k1B4fAqH9RXH2/EGjSXapipqLrAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce8e7b68be3e9ed32cd48095216c9f1c2e5e485fdd058a1981731aa2eaec5762","last_reissued_at":"2026-05-18T00:18:01.508976Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:01.508976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Geert Litjens, Wouter Bulten","submitted_at":"2018-04-19T11:40:23Z","abstract_excerpt":"We propose an unsupervised method using self-clustering convolutional adversarial autoencoders to classify prostate tissue as tumor or non-tumor without any labeled training data. The clustering method is integrated into the training of the autoencoder and requires only little post-processing. Our network trains on hematoxylin and eosin (H&E) input patches and we tested two different reconstruction targets, H&E and immunohistochemistry (IHC). We show that antibody-driven feature learning using IHC helps the network to learn relevant features for the clustering task. Our network achieves a F1 s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.07098","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":"1804.07098","created_at":"2026-05-18T00:18:01.509064+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.07098v1","created_at":"2026-05-18T00:18:01.509064+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.07098","created_at":"2026-05-18T00:18:01.509064+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z2HHW2F6H2PN","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z2HHW2F6H2PNGLGU","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z2HHW2F6","created_at":"2026-05-18T12:33:04.347982+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/Z2HHW2F6H2PNGLGUQCKSC3E7DQ","json":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ.json","graph_json":"https://pith.science/api/pith-number/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/graph.json","events_json":"https://pith.science/api/pith-number/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/events.json","paper":"https://pith.science/paper/Z2HHW2F6"},"agent_actions":{"view_html":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ","download_json":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ.json","view_paper":"https://pith.science/paper/Z2HHW2F6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.07098&json=true","fetch_graph":"https://pith.science/api/pith-number/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/graph.json","fetch_events":"https://pith.science/api/pith-number/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/action/storage_attestation","attest_author":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/action/author_attestation","sign_citation":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/action/citation_signature","submit_replication":"https://pith.science/pith/Z2HHW2F6H2PNGLGUQCKSC3E7DQ/action/replication_record"}},"created_at":"2026-05-18T00:18:01.509064+00:00","updated_at":"2026-05-18T00:18:01.509064+00:00"}