Neural Network Method for Detecting Blur in Histological Images

In this paper we consider the problem of detecting blurred regions in high-resolution whole slide histologic images. The proposed method is based on the use of a Fourier neural operator trained on the results of two simultaneously used approaches: blur detection using multiscale analysis of the disc...

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Veröffentlicht in:	Programming and computer software 2024-06, Vol.50 (3), p.224-230
Hauptverfasser:	Nazarenko, G. S., Krylov, A. S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computer Science Datasets Deep learning Discrete cosine transform Image resolution Methods Multiscale analysis Neural networks Operating Systems Software Engineering Software Engineering/Programming and Operating Systems
Online-Zugang:	Volltext
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