Výsledky vyhledávání - "Variance Stabilization"

Akademický článek

Feature selection followed by a novel residuals-based normalization that includes variance stabilization simplifies and improves single-cell gene expression analysis

Autor: Amartya Singh, Hossein Khiabanian

Publikováno v: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-42 (2024)

Abstract Normalization is a crucial step in the analysis of single-cell RNA-sequencing (scRNA-seq) counts data. Its principal objectives are reduction of systematic biases primarily introduced through technical sources and transformation of counts to

Externí odkaz: https://doaj.org/article/7de3de24269841028019b8760fdb7a17

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Akademický článek

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Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network

Autor: Li, Dasong, Zhang, Yi, Law, Ka Lung, Wang, Xiaogang, Qin, Hongwei, Li, Hongsheng

Publikováno v: IJCV 2022

With the growing popularity of smartphones, capturing high-quality images is of vital importance to smartphones. The cameras of smartphones have small apertures and small sensor cells, which lead to the noisy images in low light environment. Denoisin

Externí odkaz: http://arxiv.org/abs/2205.04721

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Akademický článek

GOES-8 X-ray Sensor Variance Stabilization Using the Multiscale Data-Driven Haar-Fisz Transform

Autor: Fryzlewicz, Piotr, Nason, Guy P.

Publikováno v: Journal of the Royal Statistical Society. Series C (Applied Statistics), 2007 Jan 01. 56(1), 99-116.

Externí odkaz: https://www.jstor.org/stable/4126383

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Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain

Autor: Vimieiro, Rodrigo de Barros, Niu, Chuang, Shan, Hongming, Borges, Lucas Rodrigues, Wang, Ge, Vieira, Marcelo Andrade da Costa

Digital breast tomosynthesis (DBT) exams should utilize the lowest possible radiation dose while maintaining sufficiently good image quality for accurate medical diagnosis. In this work, we propose a convolution neural network (CNN) to restore low-do

Externí odkaz: http://arxiv.org/abs/2203.11722

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