Results 221 to 230 of about 272,612 (359)
Infrared Image Denoising Algorithm Based on Wavelet Transform and Self-Attention Mechanism. [PDF]
Li H, Zhang Y, Yang L, Zhang H.
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
An Efficient Method of Image Denoising Using Hybrid Filter Approach
Deepa Detani +2 more
openalex +1 more source
Image Denoising and Super-Resolution using Residual Learning of Deep Convolutional Network [PDF]
Rohit Pardasani, Utkarsh Shreemali
openalex +1 more source
Network models for bridging denoising and identifying spatial domains of spatially resolved transcriptomics. [PDF]
Wang H, Zhang W, Liu Z, Ma X.
europepmc +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Group-level test-retest reliability assessment using systemic physiology augmented functional near-infrared spectroscopy during a passive-listening task. [PDF]
Mollison AA +3 more
europepmc +1 more source
This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu +8 more
wiley +1 more source
Application of convolutional neural networks in focused ion beam scanning electron microscopy image denoising. [PDF]
Xu W +6 more
europepmc +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source

