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Paper Citation Record · LEDGER

Deep Learning in Medical Ultrasound Image Segmentation: a Review

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2002.07703.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2002.07703 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:49.001975Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T14:44:51.318142Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a713d01b-f33a-403e-8d96-61952da918ca · inbound

Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection cites this paper.

Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection Deep Learning in Medical Ultrasound Image Segmentation: a Review

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:44:51.362147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:44:49.001975Z digest=sha256:a41722cefa0d475eb2309d0e8f42be1ab1d6ec5e7953d70f71843a3d862719ed