{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:H6PHAG6JWPTFTB2G6IPCQUCVUH","short_pith_number":"pith:H6PHAG6J","schema_version":"1.0","canonical_sha256":"3f9e701bc9b3e6598746f21e285055a1db65971fe8032d10b819c37cef42b313","source":{"kind":"arxiv","id":"2411.04656","version":1},"attestation_state":"computed","paper":{"title":"ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahmed Elazab, Changmiao Wang, Gangyong Jia, Hui Jin, Qinglei Shi, Qing Wu, Ruiquan Ge, Xinchen Jiang, Xinlei Yu","submitted_at":"2024-11-07T12:34:25Z","abstract_excerpt":"Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke and is characterized by a high incidence of disability. Accurate segmentation of the ICH region and prognosis prediction are critically important for developing and refining treatment plans for post-ICH patients. However, existing approaches address these two tasks independently and predominantly focus on imaging data alone, thereby neglecting the intrinsic correlation between the tasks and modalities. This paper introduces a multi-task network, ICH-SCNet, designed for both ICH segmentation and prognosis classification. Specifi"},"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":"2411.04656","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-07T12:34:25Z","cross_cats_sorted":[],"title_canon_sha256":"d020d87c2f354fa66e160470c7a73dd18758a30d7795673d01a45548c8c980d0","abstract_canon_sha256":"7f9cb9f1fd49a24d2c04d342ee477d8305eec4ca4f2633054fc7489d97474034"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:32:23.502395Z","signature_b64":"GOTYOtn9y+ZeEI+2Tm7lrb2WHB7U+tzDUPT77Hrkjw4G9mz1EfOUO86vNaXAURMbJSw1JD0tjqM9FFcDQ42fDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f9e701bc9b3e6598746f21e285055a1db65971fe8032d10b819c37cef42b313","last_reissued_at":"2026-07-05T09:32:23.501871Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:32:23.501871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahmed Elazab, Changmiao Wang, Gangyong Jia, Hui Jin, Qinglei Shi, Qing Wu, Ruiquan Ge, Xinchen Jiang, Xinlei Yu","submitted_at":"2024-11-07T12:34:25Z","abstract_excerpt":"Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke and is characterized by a high incidence of disability. Accurate segmentation of the ICH region and prognosis prediction are critically important for developing and refining treatment plans for post-ICH patients. However, existing approaches address these two tasks independently and predominantly focus on imaging data alone, thereby neglecting the intrinsic correlation between the tasks and modalities. This paper introduces a multi-task network, ICH-SCNet, designed for both ICH segmentation and prognosis classification. Specifi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.04656","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.04656/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2411.04656","created_at":"2026-07-05T09:32:23.501930+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.04656v1","created_at":"2026-07-05T09:32:23.501930+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.04656","created_at":"2026-07-05T09:32:23.501930+00:00"},{"alias_kind":"pith_short_12","alias_value":"H6PHAG6JWPTF","created_at":"2026-07-05T09:32:23.501930+00:00"},{"alias_kind":"pith_short_16","alias_value":"H6PHAG6JWPTFTB2G","created_at":"2026-07-05T09:32:23.501930+00:00"},{"alias_kind":"pith_short_8","alias_value":"H6PHAG6J","created_at":"2026-07-05T09:32:23.501930+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/H6PHAG6JWPTFTB2G6IPCQUCVUH","json":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH.json","graph_json":"https://pith.science/api/pith-number/H6PHAG6JWPTFTB2G6IPCQUCVUH/graph.json","events_json":"https://pith.science/api/pith-number/H6PHAG6JWPTFTB2G6IPCQUCVUH/events.json","paper":"https://pith.science/paper/H6PHAG6J"},"agent_actions":{"view_html":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH","download_json":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH.json","view_paper":"https://pith.science/paper/H6PHAG6J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.04656&json=true","fetch_graph":"https://pith.science/api/pith-number/H6PHAG6JWPTFTB2G6IPCQUCVUH/graph.json","fetch_events":"https://pith.science/api/pith-number/H6PHAG6JWPTFTB2G6IPCQUCVUH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH/action/storage_attestation","attest_author":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH/action/author_attestation","sign_citation":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH/action/citation_signature","submit_replication":"https://pith.science/pith/H6PHAG6JWPTFTB2G6IPCQUCVUH/action/replication_record"}},"created_at":"2026-07-05T09:32:23.501930+00:00","updated_at":"2026-07-05T09:32:23.501930+00:00"}