Results 91 to 100 of about 25,441 (258)

Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution

IEEE Access
To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model (DC-PC-Dilated-IR-V2) in term of the deep convolutional network
Shaowei Pan, Xingxing Cheng, Wenjing Fan
doaj   +1 more source

Integrated Single‐Cell and Spatial Analysis Reveals a Metabolic‐Immune Axis Driving Aortic Dissection

Advanced Science, EarlyView.
Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao, Huanjie Yang, Jiahui Yong, Xueting Chen, Qiang Zhao, Xueli Wu, Lei Yan, Li Pang, Fan Luo, Mengjun Yu, Shanshan Pan, Deyang Li, Rouxi Chen, Juan Wang, Zhensheng Dong, Fan Yang, Yue Wang, Yang Chen, Hongjian Zheng, Zhimin Yang, Zijie Wang, Karsten Kristiansen, Hui Peng, Xiaodong Fang, Juan Shen, Yining Yang   +25 more
wiley   +1 more source

CK2α Deficiency Drives Myocardial Fibrosis via Desmin‐Induced Mitochondrial Dysfunction

Advanced Science, EarlyView.
CK2α preserves mitochondrial homeostasis by phosphorylating Desmin to recruit Cryab, ensuring proper filament assembly. CK2α deficiency disrupts this interaction, causing mitochondrial dysfunction, metabolic shifts, bioenergetic failure, and oxidative stress—ultimately establishing a pro‐fibrotic environment that drives cardiac fibrosis.
Canjie Ma, Jiali Jia, Juncong Lan, Jing Wang, Dan Rao, Lanlan Rao, Weibin Zhang, Dongpeng Wu, Jie Zhang, Gang Wang, Baohua Liu, Ying Ao, Zimei Wang   +12 more
wiley   +1 more source

Small Object Segmentation Using Dilated Convolutions With Increasing-Decreasing Dilation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This article presents a novel convolutional neural network (CNN) architecture for segmenting significantly small and crowded objects in remote sensing imagery. Although such small objects are characteristic in the remote sensing domain, the previous works mostly follow the state-of-the-art CNN models designed for ground-based images and have yet to ...
Ryuhei Hamaguchi, Aito Fujita, Keisuke Nemoto   +2 more
openaire   +2 more sources

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Multi-Scale Dilated Convolution Neural Network for Image Artifact Correction of Limited-Angle Tomography

IEEE Access, 2020
Limited-angle computed tomography (CT) has arisen in some medical and industrial applications. It is also a challenging problem since some scan views are missing and the directly reconstructed images often suffer from severe distortions. For such kind of
Haichuan Zhou, Yining Zhu, Qian Wang, Jinqiu Xu, Ge Li, Defeng Chen, Yingying Dong, Huitao Zhang   +7 more
doaj   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation

Advanced Intelligent Systems, EarlyView.
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li, Haoyu Tang, Jun Zhu, Fang Fang Gou, Jia Wu   +4 more
wiley   +1 more source

On the Spectral Radius of Convolution Dilation Operators

Zeitschrift für Analysis und ihre Anwendungen, 2002
Convolution dilation operators with non-compactly supported kernels are considered and effective formulae for their spectral radii are found. The formulae depend on the behaviour of the eigenvalues of the dilation matrix.
Didenko, V.D., Korenovskyy, A.A., Lee, S.L.   +2 more
openaire   +2 more sources