{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:5PHSHZM25HBDQ6TKDXVOS2YUU5","short_pith_number":"pith:5PHSHZM2","canonical_record":{"source":{"id":"1807.10711","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-27T16:29:11Z","cross_cats_sorted":[],"title_canon_sha256":"11d1fbb554e78985b224759bc32030f707619fc33fefd78e43298e474ee747d4","abstract_canon_sha256":"6ee45652e87f898b5bcc6f4c1155ddabf33f438b0208a8534b23138282d2d15e"},"schema_version":"1.0"},"canonical_sha256":"ebcf23e59ae9c2387a6a1deae96b14a76a2a051d59aef59318fa3c93315b50fe","source":{"kind":"arxiv","id":"1807.10711","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.10711","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"arxiv_version","alias_value":"1807.10711v3","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10711","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"pith_short_12","alias_value":"5PHSHZM25HBD","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"pith_short_16","alias_value":"5PHSHZM25HBDQ6TK","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"pith_short_8","alias_value":"5PHSHZM2","created_at":"2026-07-05T04:01:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:5PHSHZM25HBDQ6TKDXVOS2YUU5","target":"record","payload":{"canonical_record":{"source":{"id":"1807.10711","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-27T16:29:11Z","cross_cats_sorted":[],"title_canon_sha256":"11d1fbb554e78985b224759bc32030f707619fc33fefd78e43298e474ee747d4","abstract_canon_sha256":"6ee45652e87f898b5bcc6f4c1155ddabf33f438b0208a8534b23138282d2d15e"},"schema_version":"1.0"},"canonical_sha256":"ebcf23e59ae9c2387a6a1deae96b14a76a2a051d59aef59318fa3c93315b50fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:01:20.414402Z","signature_b64":"K/gr7GFekQNtXdRnjY1iFpMKVAzsowhytPOKYM+TrT77uOP3V5OiKf7YtbYAxWmhdT7/mSrGZ7bvFhPo/9aZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebcf23e59ae9c2387a6a1deae96b14a76a2a051d59aef59318fa3c93315b50fe","last_reissued_at":"2026-07-05T04:01:20.413902Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:01:20.413902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.10711","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:01:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lt9oPzLZ7IfOcCnQvMK4j6DWdTV5ihNbLmAlxcuK+NgL6Ta6ur1QsSBgRvkSULNh7D1hIo7LOPXnbYdUk8eGBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:53:32.983248Z"},"content_sha256":"47157d4686b1147265723979c0196396e8d5cf475aeb72ede804efdda8314738","schema_version":"1.0","event_id":"sha256:47157d4686b1147265723979c0196396e8d5cf475aeb72ede804efdda8314738"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:5PHSHZM25HBDQ6TKDXVOS2YUU5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Methods and Applications for Region of Interest Detection in Dermoscopic Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Manu Goyal, Moi Hoon Yap, Saeed Hassanpour","submitted_at":"2018-07-27T16:29:11Z","abstract_excerpt":"Rapid growth in the development of medical imaging analysis technology has been propelled by the great interest in improving computer-aided diagnosis and detection (CAD) systems for three popular image visualization tasks: classification, segmentation, and Region of Interest (ROI) detection. However, a limited number of datasets with ground truth annotations are available for developing segmentation and ROI detection of lesions, as expert annotations are laborious and expensive. Detecting the ROI is vital to locate lesions accurately. In this paper, we propose the use of two deep object detect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10711","kind":"arxiv","version":3},"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/1807.10711/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:01:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dKVBRD0V2BTo9YDiEkwoOP/cW7szLW4fKZy6EPmgO1Us/ZvgBvdm6ffD3JCglHn+rwMIx5kgAO++2ZHj2XK7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:53:32.983765Z"},"content_sha256":"79ef68e01cfdce9b2285ca01d9b494d23a813b36bc89a0a2548668ddc2f4b877","schema_version":"1.0","event_id":"sha256:79ef68e01cfdce9b2285ca01d9b494d23a813b36bc89a0a2548668ddc2f4b877"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5PHSHZM25HBDQ6TKDXVOS2YUU5/bundle.json","state_url":"https://pith.science/pith/5PHSHZM25HBDQ6TKDXVOS2YUU5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5PHSHZM25HBDQ6TKDXVOS2YUU5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T04:53:32Z","links":{"resolver":"https://pith.science/pith/5PHSHZM25HBDQ6TKDXVOS2YUU5","bundle":"https://pith.science/pith/5PHSHZM25HBDQ6TKDXVOS2YUU5/bundle.json","state":"https://pith.science/pith/5PHSHZM25HBDQ6TKDXVOS2YUU5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5PHSHZM25HBDQ6TKDXVOS2YUU5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:5PHSHZM25HBDQ6TKDXVOS2YUU5","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":"6ee45652e87f898b5bcc6f4c1155ddabf33f438b0208a8534b23138282d2d15e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-27T16:29:11Z","title_canon_sha256":"11d1fbb554e78985b224759bc32030f707619fc33fefd78e43298e474ee747d4"},"schema_version":"1.0","source":{"id":"1807.10711","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.10711","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"arxiv_version","alias_value":"1807.10711v3","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10711","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"pith_short_12","alias_value":"5PHSHZM25HBD","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"pith_short_16","alias_value":"5PHSHZM25HBDQ6TK","created_at":"2026-07-05T04:01:20Z"},{"alias_kind":"pith_short_8","alias_value":"5PHSHZM2","created_at":"2026-07-05T04:01:20Z"}],"graph_snapshots":[{"event_id":"sha256:79ef68e01cfdce9b2285ca01d9b494d23a813b36bc89a0a2548668ddc2f4b877","target":"graph","created_at":"2026-07-05T04:01:20Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1807.10711/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Rapid growth in the development of medical imaging analysis technology has been propelled by the great interest in improving computer-aided diagnosis and detection (CAD) systems for three popular image visualization tasks: classification, segmentation, and Region of Interest (ROI) detection. However, a limited number of datasets with ground truth annotations are available for developing segmentation and ROI detection of lesions, as expert annotations are laborious and expensive. Detecting the ROI is vital to locate lesions accurately. In this paper, we propose the use of two deep object detect","authors_text":"Manu Goyal, Moi Hoon Yap, Saeed Hassanpour","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-27T16:29:11Z","title":"Deep Learning Methods and Applications for Region of Interest Detection in Dermoscopic Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10711","kind":"arxiv","version":3},"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":"sha256:47157d4686b1147265723979c0196396e8d5cf475aeb72ede804efdda8314738","target":"record","created_at":"2026-07-05T04:01:20Z","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":"6ee45652e87f898b5bcc6f4c1155ddabf33f438b0208a8534b23138282d2d15e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-27T16:29:11Z","title_canon_sha256":"11d1fbb554e78985b224759bc32030f707619fc33fefd78e43298e474ee747d4"},"schema_version":"1.0","source":{"id":"1807.10711","kind":"arxiv","version":3}},"canonical_sha256":"ebcf23e59ae9c2387a6a1deae96b14a76a2a051d59aef59318fa3c93315b50fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebcf23e59ae9c2387a6a1deae96b14a76a2a051d59aef59318fa3c93315b50fe","first_computed_at":"2026-07-05T04:01:20.413902Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:01:20.413902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K/gr7GFekQNtXdRnjY1iFpMKVAzsowhytPOKYM+TrT77uOP3V5OiKf7YtbYAxWmhdT7/mSrGZ7bvFhPo/9aZDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:01:20.414402Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.10711","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47157d4686b1147265723979c0196396e8d5cf475aeb72ede804efdda8314738","sha256:79ef68e01cfdce9b2285ca01d9b494d23a813b36bc89a0a2548668ddc2f4b877"],"state_sha256":"360b72e208ac3a41e3c561093c892c004735f7ed97ed9670c43f15451b08d434"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O3dV1g1dYTlxvHNMav/AZb0oH0jtz4zq1uNwz/AGXMLnAPZHT14ypoQ0P1YTiOKnusADlxv9EAK86nzgA6xjBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T04:53:32.988620Z","bundle_sha256":"6664ba47c40892d35a7bc97069a701d80ca95aaf24eff8010eab81cb28fcc9fa"}}