{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:QVN4UXYLU6VPKGXOBEQHT2DIJ2","short_pith_number":"pith:QVN4UXYL","canonical_record":{"source":{"id":"2002.07703","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-02-18T16:33:22Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"1a707d5bb87e7f2bd40ab7a7a0c88275f27b0d7136cffbbc3e87a62b7947406b","abstract_canon_sha256":"e4462566ee79740158b29f21a2a2ccebbdd587510c0168e5e934e0bd2b1b6ff1"},"schema_version":"1.0"},"canonical_sha256":"855bca5f0ba7aaf51aee092079e8684eb6e9216c1cff9d26cb93fe39bd4fd0a5","source":{"kind":"arxiv","id":"2002.07703","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.07703","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2002.07703v3","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.07703","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"QVN4UXYLU6VP","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"QVN4UXYLU6VPKGXO","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"QVN4UXYL","created_at":"2026-07-05T02:20:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:QVN4UXYLU6VPKGXOBEQHT2DIJ2","target":"record","payload":{"canonical_record":{"source":{"id":"2002.07703","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-02-18T16:33:22Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"1a707d5bb87e7f2bd40ab7a7a0c88275f27b0d7136cffbbc3e87a62b7947406b","abstract_canon_sha256":"e4462566ee79740158b29f21a2a2ccebbdd587510c0168e5e934e0bd2b1b6ff1"},"schema_version":"1.0"},"canonical_sha256":"855bca5f0ba7aaf51aee092079e8684eb6e9216c1cff9d26cb93fe39bd4fd0a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:20:27.718337Z","signature_b64":"n0+/ousXA+Qy4pXVH9or+431wOeSiynRjmKyo8/lpUGo4L4WyuqwnOX29HObTz4FcK1vVH2bbM7o05S7VAZMDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"855bca5f0ba7aaf51aee092079e8684eb6e9216c1cff9d26cb93fe39bd4fd0a5","last_reissued_at":"2026-07-05T02:20:27.717981Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:20:27.717981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.07703","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":"2026-07-05T02:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4f8dc524XmiGG4ZBTV/a3RBNILZ/z1ykjUiUX0QhT4M0/E6WqE99qEBAULYXwqTr+W8ZuHq4ez62Z6U8RP7EDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:47:35.193178Z"},"content_sha256":"116411e05f0fc1d9ad74195883afa63266297cbd77958b7e1f7781db358895ee","schema_version":"1.0","event_id":"sha256:116411e05f0fc1d9ad74195883afa63266297cbd77958b7e1f7781db358895ee"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:QVN4UXYLU6VPKGXOBEQHT2DIJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning in Medical Ultrasound Image Segmentation: a Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","stat.ML"],"primary_cat":"eess.IV","authors_text":"Ziyang Wang","submitted_at":"2020-02-18T16:33:22Z","abstract_excerpt":"Applying machine learning technologies, especially deep learning, into medical image segmentation is being widely studied because of its state-of-the-art performance and results. It can be a key step to provide a reliable basis for clinical diagnosis, such as 3D reconstruction of human tissues, image-guided interventions, image analyzing and visualization. In this review article, deep-learning-based methods for ultrasound image segmentation are categorized into six main groups according to their architectures and training at first. Secondly, for each group, several current representative algor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.07703","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/2002.07703/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":"2026-07-05T02:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rAYwvR/lZnp5nLPZzpujhl8FTwYCIv60o6iccji3Jmrk8CZBfswp/Anr2uy+e7qarXdnSRQyPzSyh+8QHsb7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:47:35.193749Z"},"content_sha256":"44af2e9f8bf8bfc0d21fb9ff542202406f09641394d9e3ed6d1816c5cfc2b82c","schema_version":"1.0","event_id":"sha256:44af2e9f8bf8bfc0d21fb9ff542202406f09641394d9e3ed6d1816c5cfc2b82c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QVN4UXYLU6VPKGXOBEQHT2DIJ2/bundle.json","state_url":"https://pith.science/pith/QVN4UXYLU6VPKGXOBEQHT2DIJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QVN4UXYLU6VPKGXOBEQHT2DIJ2/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":"2026-08-08T07:47:35Z","links":{"resolver":"https://pith.science/pith/QVN4UXYLU6VPKGXOBEQHT2DIJ2","bundle":"https://pith.science/pith/QVN4UXYLU6VPKGXOBEQHT2DIJ2/bundle.json","state":"https://pith.science/pith/QVN4UXYLU6VPKGXOBEQHT2DIJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QVN4UXYLU6VPKGXOBEQHT2DIJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QVN4UXYLU6VPKGXOBEQHT2DIJ2","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":"e4462566ee79740158b29f21a2a2ccebbdd587510c0168e5e934e0bd2b1b6ff1","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-02-18T16:33:22Z","title_canon_sha256":"1a707d5bb87e7f2bd40ab7a7a0c88275f27b0d7136cffbbc3e87a62b7947406b"},"schema_version":"1.0","source":{"id":"2002.07703","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.07703","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2002.07703v3","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.07703","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"QVN4UXYLU6VP","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"QVN4UXYLU6VPKGXO","created_at":"2026-07-05T02:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"QVN4UXYL","created_at":"2026-07-05T02:20:27Z"}],"graph_snapshots":[{"event_id":"sha256:44af2e9f8bf8bfc0d21fb9ff542202406f09641394d9e3ed6d1816c5cfc2b82c","target":"graph","created_at":"2026-07-05T02:20:27Z","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/2002.07703/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Applying machine learning technologies, especially deep learning, into medical image segmentation is being widely studied because of its state-of-the-art performance and results. It can be a key step to provide a reliable basis for clinical diagnosis, such as 3D reconstruction of human tissues, image-guided interventions, image analyzing and visualization. In this review article, deep-learning-based methods for ultrasound image segmentation are categorized into six main groups according to their architectures and training at first. Secondly, for each group, several current representative algor","authors_text":"Ziyang Wang","cross_cats":["cs.CV","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-02-18T16:33:22Z","title":"Deep Learning in Medical Ultrasound Image Segmentation: a Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.07703","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":"sha256:116411e05f0fc1d9ad74195883afa63266297cbd77958b7e1f7781db358895ee","target":"record","created_at":"2026-07-05T02:20:27Z","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":"e4462566ee79740158b29f21a2a2ccebbdd587510c0168e5e934e0bd2b1b6ff1","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-02-18T16:33:22Z","title_canon_sha256":"1a707d5bb87e7f2bd40ab7a7a0c88275f27b0d7136cffbbc3e87a62b7947406b"},"schema_version":"1.0","source":{"id":"2002.07703","kind":"arxiv","version":3}},"canonical_sha256":"855bca5f0ba7aaf51aee092079e8684eb6e9216c1cff9d26cb93fe39bd4fd0a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"855bca5f0ba7aaf51aee092079e8684eb6e9216c1cff9d26cb93fe39bd4fd0a5","first_computed_at":"2026-07-05T02:20:27.717981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:20:27.717981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n0+/ousXA+Qy4pXVH9or+431wOeSiynRjmKyo8/lpUGo4L4WyuqwnOX29HObTz4FcK1vVH2bbM7o05S7VAZMDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:20:27.718337Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.07703","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:116411e05f0fc1d9ad74195883afa63266297cbd77958b7e1f7781db358895ee","sha256:44af2e9f8bf8bfc0d21fb9ff542202406f09641394d9e3ed6d1816c5cfc2b82c"],"state_sha256":"8140f02e8fe9aba9d5af90029c26080793cb66ac3ed659438a09901c3867c3a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FwbycPVqhVoKcDHR7r+D/32LYiMCq6qoN3DxGjY5m1D4h40ZE1oc8Ma9X4MlqxHVo43TZ7P2HsOHqunlPX+NCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:47:35.199047Z","bundle_sha256":"a805ea71c2a4092773aecbb7c5e0c1101239a3df3d359432de9701ad9f2c55c7"}}