Results 171 to 180 of about 116,500 (328)

453 Ventilation defect percentage comparison between spiral with post-acquisition denoising and cartesian acquisition for 19F lung magnetic resonance imaging

, 2022
S. Chung, K. Huynh, Y. Chen, P. Yap, J. Goralski, S. Donaldson, Yoonshin Lee   +6 more
openalex   +1 more source

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency [PDF]

Hansen Feng, Lizhi Wang, Yiqi Huang, Tong Li, Lin Zhu, Hua Huang   +5 more
openalex   +1 more source

[Progress in filters for denoising cryo-electron microscopy images].

, 2021
Xinrui Huang, Sheng-Lin Li, Song Gao
openalex   +2 more sources

A rapid denoised contrast enhancement method digitally mimicking an adaptive illumination in submicron-resolution neuronal imaging [PDF]

, 2022
Bhaskar Jyoti Borah, Chi‐Kuang Sun
openalex   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

A Gradient-Projected Model for Image Denoising. [PDF]

Sensors (Basel)
Wen Y, Liu Y, Liang Z, Xu G, Lin C, Wang G.   +5 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Evaluating the impact of deep learning-based image denoising on low-dose CT for lung cancer screening. [PDF]

J Appl Clin Med Phys
Chen SS, Liu HH, Yang CC.
europepmc   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Infrared Image Denoising Algorithm Based on Wavelet Transform and Self-Attention Mechanism. [PDF]

Sensors (Basel)
Li H, Zhang Y, Yang L, Zhang H.
europepmc   +1 more source