Artificial intelligence capable of detecting left ventricular hypertrophy: pushing the limits of the electrocardiogram?

Kashou, Anthony H; Noseworthy, Peter A

Artificial intelligence capable of detecting left ventricular hypertrophy: pushing the limits of the electrocardiogram?

Kashou, Anthony H;Noseworthy, Peter A;

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology 2020

261

kashou2020artificialeuropace

Keywords

skin cancer classification contrast stretching feature reduction lesions segmentation

Access

DOI:

euz349

Citation

ID: 76597

Ref Key: kashou2020artificialeuropace

Use this key to autocite in SciMatic or Thesis Manager

References

No Bibliography

Blockchain Verification

Account:

NFT Contract Address:

0x95644003c57E6F55A65596E3D9Eac6813e3566dA

Article ID:

76597

Unique Identifier:

euz349

Network:

Scimatic Chain (ID: 481)

Blockchain Readiness Checklist

Authors

Abstract

Journal Name

Year

Title

4/5

Blockchain Upload Locked

Complete all 5 checklist items to tokenize your article

Gas fees required in SCI Coins

Buy SCI

Saymatik Web3.0 Wallet

Google Play

App Store

Artificial intelligence capable of detecting left ventricular hypertrophy: pushing the limits of the electrocardiogram?

Keywords

Access

Citation

References

References

Blockchain Verification

Blockchain Readiness Checklist

Saymatik Web3.0 Wallet

About

Services

Legal

License