Matches in SemOpenAlex for { <https://semopenalex.org/work/W2201951980> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2201951980 endingPage "110" @default.
- W2201951980 startingPage "102" @default.
- W2201951980 abstract "The main source of noise in computed tomography (CT) images is a quantum noise, which results from statistical fluctuations of X-ray quanta reaching the detector. This paper proposes a neural network (NN) based hybrid filter for removing quantum noise. The proposed filter consists of bilateral filters (BFs), a single or multiple neural edge enhancer(s) (NEE), and a neural filter (NF) to combine them. The BFs take into account the difference in value from the neighbors, to preserve edges while smoothing. The NEE is used to clearly enhance the desired edges from noisy images. The NF acts like a fusion operator, and attempts to construct an enhanced output image. Several measurements are used to evaluate the image quality, like the root mean square error (RMSE), the improvement in signal to noise ratio (ISNR), the standard deviation ratio (MSR), and the contrast to noise ratio (CNR). Also, the modulation transfer function (MTF) is used as a means of determining how well the edge structure is preserved. In terms of all those measurements and means, the proposed filter shows better performance than the guided filter, and the nonlocal means (NLM) filter. In addition, there is no severe restriction to select the number of inputs for the fusion operator differently from the neuro-fuzzy system. Therefore, without concerning too much about the filter selection for fusion, one could apply the proposed hybrid filter to various images with different modalities, once the corresponding noise characteristics are explored." @default.
- W2201951980 created "2016-06-24" @default.
- W2201951980 creator A5002194333 @default.
- W2201951980 creator A5044837622 @default.
- W2201951980 creator A5048641613 @default.
- W2201951980 date "2015-06-30" @default.
- W2201951980 modified "2023-10-17" @default.
- W2201951980 title "Hybrid Filter Based on Neural Networks for Removing Quantum Noise in Low-Dose Medical X-ray CT Images" @default.
- W2201951980 cites W1970800344 @default.
- W2201951980 cites W1988115241 @default.
- W2201951980 cites W1992705935 @default.
- W2201951980 cites W2089529460 @default.
- W2201951980 cites W2095631289 @default.
- W2201951980 cites W2096413230 @default.
- W2201951980 cites W2097073572 @default.
- W2201951980 cites W2099244020 @default.
- W2201951980 cites W2103015025 @default.
- W2201951980 cites W2103311002 @default.
- W2201951980 cites W2114973443 @default.
- W2201951980 cites W2117028429 @default.
- W2201951980 cites W2117893569 @default.
- W2201951980 cites W2131720521 @default.
- W2201951980 cites W2136943214 @default.
- W2201951980 cites W2150060382 @default.
- W2201951980 cites W2161652483 @default.
- W2201951980 cites W2161809308 @default.
- W2201951980 cites W3149563478 @default.
- W2201951980 doi "https://doi.org/10.5391/ijfis.2015.15.2.102" @default.
- W2201951980 hasPublicationYear "2015" @default.
- W2201951980 type Work @default.
- W2201951980 sameAs 2201951980 @default.
- W2201951980 citedByCount "4" @default.
- W2201951980 countsByYear W22019519802016 @default.
- W2201951980 countsByYear W22019519802018 @default.
- W2201951980 countsByYear W22019519802019 @default.
- W2201951980 crossrefType "journal-article" @default.
- W2201951980 hasAuthorship W2201951980A5002194333 @default.
- W2201951980 hasAuthorship W2201951980A5044837622 @default.
- W2201951980 hasAuthorship W2201951980A5048641613 @default.
- W2201951980 hasBestOaLocation W22019519801 @default.
- W2201951980 hasConcept C106131492 @default.
- W2201951980 hasConcept C115961682 @default.
- W2201951980 hasConcept C121332964 @default.
- W2201951980 hasConcept C154945302 @default.
- W2201951980 hasConcept C31972630 @default.
- W2201951980 hasConcept C41008148 @default.
- W2201951980 hasConcept C50644808 @default.
- W2201951980 hasConcept C62520636 @default.
- W2201951980 hasConcept C84114770 @default.
- W2201951980 hasConcept C99498987 @default.
- W2201951980 hasConceptScore W2201951980C106131492 @default.
- W2201951980 hasConceptScore W2201951980C115961682 @default.
- W2201951980 hasConceptScore W2201951980C121332964 @default.
- W2201951980 hasConceptScore W2201951980C154945302 @default.
- W2201951980 hasConceptScore W2201951980C31972630 @default.
- W2201951980 hasConceptScore W2201951980C41008148 @default.
- W2201951980 hasConceptScore W2201951980C50644808 @default.
- W2201951980 hasConceptScore W2201951980C62520636 @default.
- W2201951980 hasConceptScore W2201951980C84114770 @default.
- W2201951980 hasConceptScore W2201951980C99498987 @default.
- W2201951980 hasIssue "2" @default.
- W2201951980 hasLocation W22019519801 @default.
- W2201951980 hasOpenAccess W2201951980 @default.
- W2201951980 hasPrimaryLocation W22019519801 @default.
- W2201951980 hasRelatedWork W1983340871 @default.
- W2201951980 hasRelatedWork W2005185696 @default.
- W2201951980 hasRelatedWork W2092957489 @default.
- W2201951980 hasRelatedWork W2130228941 @default.
- W2201951980 hasRelatedWork W2132132164 @default.
- W2201951980 hasRelatedWork W2161229648 @default.
- W2201951980 hasRelatedWork W2235753890 @default.
- W2201951980 hasRelatedWork W2889893736 @default.
- W2201951980 hasRelatedWork W2993674027 @default.
- W2201951980 hasRelatedWork W2585909798 @default.
- W2201951980 hasVolume "15" @default.
- W2201951980 isParatext "false" @default.
- W2201951980 isRetracted "false" @default.
- W2201951980 magId "2201951980" @default.
- W2201951980 workType "article" @default.