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Updated: Jan 20, 2026

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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Quantitative enhancement thresholds and machine learning algorithms for the evaluation of renal lesions using

Markus M Obmann1,2, Aurelio Cosentino3, Joshy Cyriac4

  • 1Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland. Markus.Obmann@usb.ch.

Abdominal Radiology (New York)
|August 28, 2019
PubMed
Abstract

Keywords:
Artificial intelligenceComputer-assisted radiographic image interpretationDual-energy X-ray computed tomographyKidney diseasesSupervised machine learningspectral imagingiodine concentrationdiagnostic accuracymachine learningrenal cysts

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