{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:EO6ZBWLSB4F5LVVDHDAC2YGC6C","short_pith_number":"pith:EO6ZBWLS","schema_version":"1.0","canonical_sha256":"23bd90d9720f0bd5d6a338c02d60c2f08b4a07dc59cab3ef7e2f43f509cf5e15","source":{"kind":"arxiv","id":"2208.00627","version":2},"attestation_state":"computed","paper":{"title":"A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fengying Xie, Hangning Zhou, HaoPeng Zhang, Jie Liu, Xuedong Song, Yiguang Yang, Yilan Zhang","submitted_at":"2022-08-01T06:15:52Z","abstract_excerpt":"The computer-aided diagnosis (CAD) system can provide a reference basis for the clinical diagnosis of skin diseases. Convolutional neural networks (CNNs) can not only extract visual elements such as colors and shapes but also semantic features. As such they have made great improvements in many tasks of dermoscopy images. The imaging of dermoscopy has no principal orientation, indicating that there are a large number of skin lesion rotations in the datasets. However, CNNs lack rotation invariance, which is bound to affect the robustness of CNNs against rotations. To tackle this issue, we propos"},"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":"2208.00627","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-01T06:15:52Z","cross_cats_sorted":[],"title_canon_sha256":"facddf5bdbd4e5c5a9b3fa9487c319e3553b622c37818389003ca36ca8cdf8f2","abstract_canon_sha256":"c5b33c20d8e9040a720af3845cc0ef96470741d93dd67e427970ecbb03954050"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:30.243975Z","signature_b64":"TiuMLJeRs6vDfe2CRO4IckBHKqT/3HhT0sYrsi+EIHeygVZQ2kK3JiBt5v9c1V5IMKt3n91w5wjb0c9fIsMwAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23bd90d9720f0bd5d6a338c02d60c2f08b4a07dc59cab3ef7e2f43f509cf5e15","last_reissued_at":"2026-07-05T05:12:30.243373Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:30.243373Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fengying Xie, Hangning Zhou, HaoPeng Zhang, Jie Liu, Xuedong Song, Yiguang Yang, Yilan Zhang","submitted_at":"2022-08-01T06:15:52Z","abstract_excerpt":"The computer-aided diagnosis (CAD) system can provide a reference basis for the clinical diagnosis of skin diseases. Convolutional neural networks (CNNs) can not only extract visual elements such as colors and shapes but also semantic features. As such they have made great improvements in many tasks of dermoscopy images. The imaging of dermoscopy has no principal orientation, indicating that there are a large number of skin lesion rotations in the datasets. However, CNNs lack rotation invariance, which is bound to affect the robustness of CNNs against rotations. To tackle this issue, we propos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.00627","kind":"arxiv","version":2},"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/2208.00627/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":"2208.00627","created_at":"2026-07-05T05:12:30.243435+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.00627v2","created_at":"2026-07-05T05:12:30.243435+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.00627","created_at":"2026-07-05T05:12:30.243435+00:00"},{"alias_kind":"pith_short_12","alias_value":"EO6ZBWLSB4F5","created_at":"2026-07-05T05:12:30.243435+00:00"},{"alias_kind":"pith_short_16","alias_value":"EO6ZBWLSB4F5LVVD","created_at":"2026-07-05T05:12:30.243435+00:00"},{"alias_kind":"pith_short_8","alias_value":"EO6ZBWLS","created_at":"2026-07-05T05:12:30.243435+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/EO6ZBWLSB4F5LVVDHDAC2YGC6C","json":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C.json","graph_json":"https://pith.science/api/pith-number/EO6ZBWLSB4F5LVVDHDAC2YGC6C/graph.json","events_json":"https://pith.science/api/pith-number/EO6ZBWLSB4F5LVVDHDAC2YGC6C/events.json","paper":"https://pith.science/paper/EO6ZBWLS"},"agent_actions":{"view_html":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C","download_json":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C.json","view_paper":"https://pith.science/paper/EO6ZBWLS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.00627&json=true","fetch_graph":"https://pith.science/api/pith-number/EO6ZBWLSB4F5LVVDHDAC2YGC6C/graph.json","fetch_events":"https://pith.science/api/pith-number/EO6ZBWLSB4F5LVVDHDAC2YGC6C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C/action/storage_attestation","attest_author":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C/action/author_attestation","sign_citation":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C/action/citation_signature","submit_replication":"https://pith.science/pith/EO6ZBWLSB4F5LVVDHDAC2YGC6C/action/replication_record"}},"created_at":"2026-07-05T05:12:30.243435+00:00","updated_at":"2026-07-05T05:12:30.243435+00:00"}