{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AR3WKITE55ZFZFTYQIJC3BY7CP","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":"50e9a1e35f9bab0b4b9e3d4316deae47916146749ae04b93c6cd5e37c3daef20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T11:35:41Z","title_canon_sha256":"fbbbf664d417b02873efe89f80bb34f355f2bec4cf71ed087b7d62f5de78a70a"},"schema_version":"1.0","source":{"id":"1809.01442","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01442","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01442v1","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01442","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"pith_short_12","alias_value":"AR3WKITE55ZF","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AR3WKITE55ZFZFTY","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AR3WKITE","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:0c4514c71a795d79b04c25304f3c307f80a71da11948902d5617c3d9250a2824","target":"graph","created_at":"2026-05-17T23:54:02Z","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":"Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin lesion images is often limited. Data augmentation can expand the training dataset by transforming input images. In this work, we investigate the impact of 13 data augmentation scenarios for melanoma classification trained on three CNNs (Inception-v4, ResNet, and DenseNet). Scenarios include traditional color and geometric transforms, and more unusual augmentations such as elastic transforms, random erasing and a nove","authors_text":"Cristina Vasconcelos, Eduardo Valle, F\\'abio Perez, Sandra Avila","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T11:35:41Z","title":"Data Augmentation for Skin Lesion Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01442","kind":"arxiv","version":1},"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":"sha256:25ad3d3bc20028212d29fae6416c727b47a378c52c71e0bdf40e8a010e7e3cbf","target":"record","created_at":"2026-05-17T23:54:02Z","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":"50e9a1e35f9bab0b4b9e3d4316deae47916146749ae04b93c6cd5e37c3daef20","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T11:35:41Z","title_canon_sha256":"fbbbf664d417b02873efe89f80bb34f355f2bec4cf71ed087b7d62f5de78a70a"},"schema_version":"1.0","source":{"id":"1809.01442","kind":"arxiv","version":1}},"canonical_sha256":"0477652264ef725c967882122d871f13efdf79c552a6e4c82d1a61f5ce93351e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0477652264ef725c967882122d871f13efdf79c552a6e4c82d1a61f5ce93351e","first_computed_at":"2026-05-17T23:54:02.618985Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:02.618985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A77MhJwNWqYvSX9OsY/jBLJqVZJQcAaSUv3hI4j4ArOhEqwhGGZ1IrhDUFmHHoTYZrZ4Q8F9ke5pl3oVNBbcDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:02.619590Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01442","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25ad3d3bc20028212d29fae6416c727b47a378c52c71e0bdf40e8a010e7e3cbf","sha256:0c4514c71a795d79b04c25304f3c307f80a71da11948902d5617c3d9250a2824"],"state_sha256":"3eb940810b295907a41a61a5063581ce4301c99a3d4c448a31fce46213bceeec"}