{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:2H5VEEIVLTDRFLTIUUSY2PAQ6L","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"56e0823e0db2ce9e6e37d637baaee3a005816aeb8c6d0f316198e3e85239cb97","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T16:38:50Z","title_canon_sha256":"e15488f3709129c5dd0b94a9afa27eadb4322f5801606ee2f0145f2dee776a4f"},"schema_version":"1.0","source":{"id":"1805.10241","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.10241","created_at":"2026-05-18T00:14:33Z"},{"alias_kind":"arxiv_version","alias_value":"1805.10241v2","created_at":"2026-05-18T00:14:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.10241","created_at":"2026-05-18T00:14:33Z"},{"alias_kind":"pith_short_12","alias_value":"2H5VEEIVLTDR","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2H5VEEIVLTDRFLTI","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2H5VEEIV","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:453d0e4d41b9c6592e1658c31703d601bccbbb1b84f696e1ab3f6f5f3cc0cfc3","target":"graph","created_at":"2026-05-18T00:14:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma. In this paper, we present a robust deep learning SLS model, so-called SLSDeep, which is represented as an encoder-decoder network. The encoder network is constructed by dilated residual layers, in turn, a pyramid pooling network followed by three convolution layers is used for the decoder. Unlike the traditional methods employing a cross-entropy loss, we investigated a loss function by combining both Negative Log Likelihood (NLL) and End Point Error (EPE) to accurately segment the melano","authors_text":"Adel Saleh, Domenec Puig, Farhan Akram, Forhad U H Chowdhury, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Petia Radeva, Saddam Abdulwahab, Santiago Romani, Syeda Furruka Banu, Vivek Kumar Singh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T16:38:50Z","title":"SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.10241","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e8d2110e06fdfbb178ebaf54beb2636793635ff0ae1772527e4fb47081e1bfdd","target":"record","created_at":"2026-05-18T00:14:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"56e0823e0db2ce9e6e37d637baaee3a005816aeb8c6d0f316198e3e85239cb97","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T16:38:50Z","title_canon_sha256":"e15488f3709129c5dd0b94a9afa27eadb4322f5801606ee2f0145f2dee776a4f"},"schema_version":"1.0","source":{"id":"1805.10241","kind":"arxiv","version":2}},"canonical_sha256":"d1fb5211155cc712ae68a5258d3c10f2d5fbb818f14563fe6f3fa8d5b03922bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d1fb5211155cc712ae68a5258d3c10f2d5fbb818f14563fe6f3fa8d5b03922bf","first_computed_at":"2026-05-18T00:14:33.639879Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:33.639879Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fptg4lDo45lQK/wvlNbiv91OT8ZZkENH2Qu8AZR4pvxnVXClzeACCYJZ5xa5e/hPFWePnkMFXrva5YVmk0beDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:33.640379Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.10241","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8d2110e06fdfbb178ebaf54beb2636793635ff0ae1772527e4fb47081e1bfdd","sha256:453d0e4d41b9c6592e1658c31703d601bccbbb1b84f696e1ab3f6f5f3cc0cfc3"],"state_sha256":"9ed19e5b44a64d03879dcebe106d6e6bbaccefff2b6eb0be678689b3e5a0eddb"}