2025-02-23T13:24:01-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22oai%3Aojs.journals.uran.ua%3Aarticle-309374%22&qt=morelikethis&rows=5
2025-02-23T13:24:01-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22oai%3Aojs.journals.uran.ua%3Aarticle-309374%22&qt=morelikethis&rows=5
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Increasing the Accuracy of Determining the Cardiothoracic Ratio with the Help of an Ensemble of Neural Networks

The cardiothoracic ratio is one of the main screening tools for heart health. Cardiothoracic ratio is usually measured manually by a cardiologist or radiologist. In the era of neural networks, which are currently developing very rapidly, we can help doctors automate and improve this process. The use...

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Bibliographic Details
Main Authors: Конюхов, В. Д., Угрімов, С. В.
Format: Article
Language:English
Ukrainian
Published: Інститут енергетичних машин і систем ім. А. М. Підгорного Національної академії наук України 2024
Online Access:https://journals.uran.ua/jme/article/view/309374
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2025-02-23T13:24:01-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22oai%3Aojs.journals.uran.ua%3Aarticle-309374%22&qt=morelikethis
2025-02-23T13:24:01-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22oai%3Aojs.journals.uran.ua%3Aarticle-309374%22&qt=morelikethis
2025-02-23T13:24:01-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T13:24:01-05:00 DEBUG: Deserialized SOLR response