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Philips Healthcare wavelet-based compression algorithms
Wavelet Based Compression Algorithms, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/wavelet-based+algorithm/wavelet+domain+video+denoising+based+on+reliability+measures/10__1109_slash_access__2019__2959220-421-18-7
Average 90 stars, based on 1 article reviews
wavelet-based compression algorithms - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn)
Article Snippet: He has been a Researcher with the Philips Research Laboratory, Belgium, in 1990 and 1991, where he developing wavelet-based compression algorithms and contributing to the JPEG-2000 standard.

Article Title: Wavelets: biomedical applications
Article Snippet: The aim of this paper is to highlight the biomedical applications of wavelet transform and corresponding research efforts in imaging techniques.. A brief introduction of wavelet transform and its properties that are vital for biomedical applications touched by various researchers has been discussed.. Application of electrocardiography in terms of QRS complex is briefly spotlighted.

Article Title: Spatial-temporal fusion for flotation froth image denoising based on BLS-GSM method in curvelet domain
Article Snippet: The visual appearance of flotation froth surface involves a major cue about the flotation performance, which is significant for machine-vision-based flotation process monitoring and control.. However, the froth image suffers from noise contamination inevitably, which incurs serious negative effects on the visual feature extraction of froth images.. This paper presents a spatialtemporal image denoising scheme based on statistical modeling of the froth image in the Curvelet domain and weighted processing of the relative patches of adjacent image sequences.

Transformation Assay:

Article Title: Advanced Abdominal MRI Techniques and Problem-Solving Strategies
Article Snippet: Another novel noise-reduction technique, utilizing the physical driven-DL (i.e., Adaptive-CS-Net) reconstruction method, artificial intelligence (Philips Healthcare), has been introduced to significantly improve image quality ( ). .. This CNN is trained for all contrasts and a wide range of acceleration factors and outperforms conventional general sparsity representations, such as the wavelet transformation implemented in Compressed SENSE (SENSE + CS, Philips Healthcare). ..

Article Title: Noise reduction of hyperspectral data using singular spectral analysis
Article Snippet: In this study, a new noise reduction algorithm based on singular spectral analysis (SSA) was developed to reduce the noise in hyperspectral data.. With this SSAbased approach, the reflectance spectrum of a given pixel in a hyperspectral cube is transformed into its state space.. The state space is dynamically constructed and characterized by irregular bases, which allows the proposed approach to reduce noises while keeping the absorption features of surface objects.

Biomarker Discovery:

Article Title: A computer-aided method based on geometrical texture features for a precocious detection of fetal Hydrocephalus in ultrasound images
Article Snippet: 12 BACKGROUD: Hydrocephalus is the most common anomaly of the fetal head characterized by an excessive accumulation of 13 fluid in the brain processing.. The diagnostic process of fetal heads using traditional evaluation techniques are generally time 14 consuming and error prone.. Usually, fetal head size is computed using an ultrasound (US) image around 20–22 weeks, which 15 is the gestational age (GA).

Filtration:

Article Title: A computer-aided method based on geometrical texture features for a precocious detection of fetal Hydrocephalus in ultrasound images
Article Snippet: 12 BACKGROUD: Hydrocephalus is the most common anomaly of the fetal head characterized by an excessive accumulation of 13 fluid in the brain processing.. The diagnostic process of fetal heads using traditional evaluation techniques are generally time 14 consuming and error prone.. Usually, fetal head size is computed using an ultrasound (US) image around 20–22 weeks, which 15 is the gestational age (GA).

Article Title: Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering
Article Snippet: .. 772–783 [23] Pizurica, A., Philips, W., Lemahieu, I., et al.: ‘Versatile wavelet domain noise filtration technique for medical imaging’, IEEE Trans. ..

Imaging:

Article Title: A computer-aided method based on geometrical texture features for a precocious detection of fetal Hydrocephalus in ultrasound images
Article Snippet: 12 BACKGROUD: Hydrocephalus is the most common anomaly of the fetal head characterized by an excessive accumulation of 13 fluid in the brain processing.. The diagnostic process of fetal heads using traditional evaluation techniques are generally time 14 consuming and error prone.. Usually, fetal head size is computed using an ultrasound (US) image around 20–22 weeks, which 15 is the gestational age (GA).

Article Title: Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering
Article Snippet: .. 772–783 [23] Pizurica, A., Philips, W., Lemahieu, I., et al.: ‘Versatile wavelet domain noise filtration technique for medical imaging’, IEEE Trans. ..



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