{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:SLDRAP54CMXVKYHVWJBOSGX4XT","short_pith_number":"pith:SLDRAP54","schema_version":"1.0","canonical_sha256":"92c7103fbc132f5560f5b242e91afcbcde1f60b7e40ca27ba526ee0d15945cda","source":{"kind":"arxiv","id":"2301.02538","version":1},"attestation_state":"computed","paper":{"title":"Automatic segmentation of clear cell renal cell tumors, kidney, and cysts in patients with von Hippel-Lindau syndrome using U-net architecture on magnetic resonance images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["physics.med-ph"],"primary_cat":"q-bio.QM","authors_text":"Aditi Chaurasia, Ashkan A. Malayeri, Baris Turkbey, Elizabeth C. Jones, Evrim Turkbey, Fatemeh Dehghani Firouzabadi, Kevin Ma, Maria Merino, Mark W. Ball, Nathan Lay, Nikhil Gopal, Pouria Yazdian Anari, Rabindra Gautam, Safa Samimi, Stephanie Harmon, W. Marston Linehan","submitted_at":"2023-01-06T14:51:00Z","abstract_excerpt":"We demonstrate automated segmentation of clear cell renal cell carcinomas (ccRCC), cysts, and surrounding normal kidney parenchyma in patients with von Hippel-Lindau (VHL) syndrome using convolutional neural networks (CNN) on Magnetic Resonance Imaging (MRI). We queried 115 VHL patients and 117 scans (3 patients have two separate scans) with 504 ccRCCs and 1171 cysts from 2015 to 2021. Lesions were manually segmented on T1 excretory phase, co-registered on all contrast-enhanced T1 sequences and used to train 2D and 3D U-Net. The U-Net performance was evaluated on 10 randomized splits of the co"},"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":"2301.02538","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2023-01-06T14:51:00Z","cross_cats_sorted":["physics.med-ph"],"title_canon_sha256":"f8ad38935f192e7a35d6dc08f80cbc0fdead7f64ea31a7da1f9e3117e4ebbd26","abstract_canon_sha256":"4c0865fecd9ab4ac4fb97461ca775ffdf0e17423ac3627d5817f0d332a4b0351"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:31:07.703663Z","signature_b64":"yIb2sSg4IVnX/jc4p1xQ6vq9DwJBQ+pbdzyBVOtzFiQH18lWSkCpS6oWbrhR8OIzlpvCSU3Bxl9dcyyeXSldBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92c7103fbc132f5560f5b242e91afcbcde1f60b7e40ca27ba526ee0d15945cda","last_reissued_at":"2026-07-05T05:31:07.703153Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:31:07.703153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automatic segmentation of clear cell renal cell tumors, kidney, and cysts in patients with von Hippel-Lindau syndrome using U-net architecture on magnetic resonance images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["physics.med-ph"],"primary_cat":"q-bio.QM","authors_text":"Aditi Chaurasia, Ashkan A. Malayeri, Baris Turkbey, Elizabeth C. Jones, Evrim Turkbey, Fatemeh Dehghani Firouzabadi, Kevin Ma, Maria Merino, Mark W. Ball, Nathan Lay, Nikhil Gopal, Pouria Yazdian Anari, Rabindra Gautam, Safa Samimi, Stephanie Harmon, W. Marston Linehan","submitted_at":"2023-01-06T14:51:00Z","abstract_excerpt":"We demonstrate automated segmentation of clear cell renal cell carcinomas (ccRCC), cysts, and surrounding normal kidney parenchyma in patients with von Hippel-Lindau (VHL) syndrome using convolutional neural networks (CNN) on Magnetic Resonance Imaging (MRI). We queried 115 VHL patients and 117 scans (3 patients have two separate scans) with 504 ccRCCs and 1171 cysts from 2015 to 2021. Lesions were manually segmented on T1 excretory phase, co-registered on all contrast-enhanced T1 sequences and used to train 2D and 3D U-Net. The U-Net performance was evaluated on 10 randomized splits of the co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.02538","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/2301.02538/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":"2301.02538","created_at":"2026-07-05T05:31:07.703218+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.02538v1","created_at":"2026-07-05T05:31:07.703218+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.02538","created_at":"2026-07-05T05:31:07.703218+00:00"},{"alias_kind":"pith_short_12","alias_value":"SLDRAP54CMXV","created_at":"2026-07-05T05:31:07.703218+00:00"},{"alias_kind":"pith_short_16","alias_value":"SLDRAP54CMXVKYHV","created_at":"2026-07-05T05:31:07.703218+00:00"},{"alias_kind":"pith_short_8","alias_value":"SLDRAP54","created_at":"2026-07-05T05:31:07.703218+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/SLDRAP54CMXVKYHVWJBOSGX4XT","json":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT.json","graph_json":"https://pith.science/api/pith-number/SLDRAP54CMXVKYHVWJBOSGX4XT/graph.json","events_json":"https://pith.science/api/pith-number/SLDRAP54CMXVKYHVWJBOSGX4XT/events.json","paper":"https://pith.science/paper/SLDRAP54"},"agent_actions":{"view_html":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT","download_json":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT.json","view_paper":"https://pith.science/paper/SLDRAP54","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.02538&json=true","fetch_graph":"https://pith.science/api/pith-number/SLDRAP54CMXVKYHVWJBOSGX4XT/graph.json","fetch_events":"https://pith.science/api/pith-number/SLDRAP54CMXVKYHVWJBOSGX4XT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT/action/storage_attestation","attest_author":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT/action/author_attestation","sign_citation":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT/action/citation_signature","submit_replication":"https://pith.science/pith/SLDRAP54CMXVKYHVWJBOSGX4XT/action/replication_record"}},"created_at":"2026-07-05T05:31:07.703218+00:00","updated_at":"2026-07-05T05:31:07.703218+00:00"}