RETRACTED ARTICLE: Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images

RETRACTED ARTICLE: Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images

Abstract The use of a light-weight deep learning Convolutional Neural Network (CNN) augmented with the power of Fuzzy Non-Sample Shearlet Transformation (FNSST) has successfully solved the problem of reducing noise and artifacts in Low-Dose Computed Tomography (LDCT) pictures. Both the Normal-Dose C...

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Bibliographic Details
Main Authors: Haewon Byeon, Ruchi Kshatri Patel, Deepak A. Vidhate, Sherzod Kiyosov, Saima Ahmed Rahin, Ismail Keshta, T. R. Vijaya Lakshmi
Format: Article
Language:English
Published: Springer 2024-01-01
Series:Discover Applied Sciences
Subjects:
CNN
Biomedical Image
Peak Signal-To-Noise ratio
Structural similarity
Artifact Problem
Online Access:https://doi.org/10.1007/s42452-024-05634-6
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