{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:TN77MQWF4JFYQR335CCIM3ZSZ6","short_pith_number":"pith:TN77MQWF","schema_version":"1.0","canonical_sha256":"9b7ff642c5e24b88477be884866f32cf8c81c72d4d6feab653b4190ab9ad3fb9","source":{"kind":"arxiv","id":"1602.02586","version":1},"attestation_state":"computed","paper":{"title":"Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gregory J. Czarnota, Hadi Tadayyon, Hamid R. Tizhoosh, Mehrdad J. Gangeh","submitted_at":"2016-02-08T14:39:01Z","abstract_excerpt":"Quantitative ultrasound (QUS) methods provide a promising framework that can non-invasively and inexpensively be used to predict or assess the tumour response to cancer treatment. The first step in using the QUS methods is to select a region of interest (ROI) inside the tumour in ultrasound images. Manual segmentation, however, is very time consuming and tedious. In this paper, a semi-automated approach will be proposed to roughly localize an ROI for a tumour in ultrasound images of patients with locally advanced breast cancer (LABC). Content-based barcodes, a recently introduced binary descri"},"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":"1602.02586","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-08T14:39:01Z","cross_cats_sorted":[],"title_canon_sha256":"9866e03a70b32912a8d536f9b336a6f54fea92d2191a3ff6836eb20aa0405229","abstract_canon_sha256":"adc95b50f9dd381df9a725450af257d27b06c92cec0e6d05f65ba00c7ea1efef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:21:09.414661Z","signature_b64":"wKtt0/Asg1QWpog5WANK7OlaYhi6sXnKZ41uBl00Mf2cyFFS0Z/EJ+1Rv7QblU2gQcCwiO0cvqJAqAyJDWI8Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b7ff642c5e24b88477be884866f32cf8c81c72d4d6feab653b4190ab9ad3fb9","last_reissued_at":"2026-05-18T01:21:09.413980Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:21:09.413980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gregory J. Czarnota, Hadi Tadayyon, Hamid R. Tizhoosh, Mehrdad J. Gangeh","submitted_at":"2016-02-08T14:39:01Z","abstract_excerpt":"Quantitative ultrasound (QUS) methods provide a promising framework that can non-invasively and inexpensively be used to predict or assess the tumour response to cancer treatment. The first step in using the QUS methods is to select a region of interest (ROI) inside the tumour in ultrasound images. Manual segmentation, however, is very time consuming and tedious. In this paper, a semi-automated approach will be proposed to roughly localize an ROI for a tumour in ultrasound images of patients with locally advanced breast cancer (LABC). Content-based barcodes, a recently introduced binary descri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.02586","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":"1602.02586","created_at":"2026-05-18T01:21:09.414089+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.02586v1","created_at":"2026-05-18T01:21:09.414089+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.02586","created_at":"2026-05-18T01:21:09.414089+00:00"},{"alias_kind":"pith_short_12","alias_value":"TN77MQWF4JFY","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_16","alias_value":"TN77MQWF4JFYQR33","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_8","alias_value":"TN77MQWF","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/TN77MQWF4JFYQR335CCIM3ZSZ6","json":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6.json","graph_json":"https://pith.science/api/pith-number/TN77MQWF4JFYQR335CCIM3ZSZ6/graph.json","events_json":"https://pith.science/api/pith-number/TN77MQWF4JFYQR335CCIM3ZSZ6/events.json","paper":"https://pith.science/paper/TN77MQWF"},"agent_actions":{"view_html":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6","download_json":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6.json","view_paper":"https://pith.science/paper/TN77MQWF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.02586&json=true","fetch_graph":"https://pith.science/api/pith-number/TN77MQWF4JFYQR335CCIM3ZSZ6/graph.json","fetch_events":"https://pith.science/api/pith-number/TN77MQWF4JFYQR335CCIM3ZSZ6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6/action/storage_attestation","attest_author":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6/action/author_attestation","sign_citation":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6/action/citation_signature","submit_replication":"https://pith.science/pith/TN77MQWF4JFYQR335CCIM3ZSZ6/action/replication_record"}},"created_at":"2026-05-18T01:21:09.414089+00:00","updated_at":"2026-05-18T01:21:09.414089+00:00"}