pith. sign in

Integrity report for A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2104.06243 · pith:2021:KBYFBQBFQDXRWAKRILUK2R4OJS

0Critical
0Advisory
0Detectors run
Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/KBYFBQBF/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.