Results 81 to 90 of about 18,989 (190)

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network

Sensors, 2019
The visual inspection of massive civil infrastructure is a common trend for maintaining its reliability and structural health. However, this procedure, which uses human inspectors, requires long inspection times and relies on the subjective and empirical
M. M. Manjurul Islam, Jong-Myon Kim
doaj   +1 more source

Beyond Water: Mapping Sediment Bars to Enhance Satellite Monitoring of River Dynamics

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Unvegetated sediment bars are central to river morphodynamics but are rarely used as indicators of channel dynamicity in satellite‐based studies. Linking sediment dynamics and river lateral mobility requires monitoring sustained changes in both water and sediment—the active channel (AC)—to avoid stage‐dependent noise.
Martina Cecchetto, Elisa Bozzolan, Andrea Brenna, Diane Doolaeghe, Elia Taffetani, Nicola Surian, Walter Bertoldi, Simone Bizzi   +7 more
wiley   +1 more source

FM-FCN: A Neural Network with Filtering Modules for Accurate Vital Signs Extraction

Research
Neural networks excel at capturing local spatial patterns through convolutional modules, but they may struggle to identify and effectively utilize the morphological and amplitude periodic nature of physiological signals.
Fangfang Zhu, Qichao Niu, Xiang Li, Qi Zhao, Honghong Su, Jianwei Shuai   +5 more
doaj   +1 more source

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

Advanced Intelligent Discovery, Volume 2, Issue 1, February 2026.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman, Fares D. E. Ghorabe, Sofya S. Chumakova, Alexandra A. Pisarenko, Alexey E. Dudaev, Tatiana G. Volova, Galina A. Ryltseva, Sviatlana A. Ulasevich, Ekaterina I. Shishatskaya, Ekaterina V. Skorb, Pavel S. Zun   +10 more
wiley   +1 more source

An Object-Based Image Analysis Method for Enhancing Classification of Land Covers Using Fully Convolutional Networks and Multi-View Images of Small Unmanned Aerial System

Remote Sensing, 2018
Fully Convolutional Networks (FCN) has shown better performance than other classifiers like Random Forest (RF), Support Vector Machine (SVM) and patch-based Deep Convolutional Neural Network (DCNN), for object-based classification using orthoimage only ...
Tao Liu, Amr Abd-Elrahman
doaj   +1 more source

Mixed U‐Net: Segmentation of focal liver lesions using a hybrid 2D and 3D model

Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Background Accurate segmentation of liver tumors on contrast‐enhanced CT is essential for clinical decision‐making, but remains challenging due to irregular tumor boundaries and the difficulty of distinguishing lesions from blood vessels and bile ducts.
Feifei Gao, Zheming Hu, Jiajun Xian, Wei Lu   +3 more
wiley   +1 more source

MRI segmentation of head and neck tumors using hybrid attention mechanism and dense dilated spatial pyramid pooling

Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Background Head and neck cancer (HNC) involves anatomically intricate regions where precise target delineation is essential for radiotherapy. The superior soft‐tissue contrast of MRI provides clearer boundary visualization compared with computed tomography (CT), enabling tighter margins and supporting daily plan adaptation in online adaptive ...
Qiang Han, Songlin He, Yuebin Zheng, Huacai Zhong, Dengyao Luo, Jun Wu, Zhiqiang Zhao, Bincheng Yan, Chengjian Cao, Xiu Liu   +9 more
wiley   +1 more source

Asymmetric Encoder-Decoder Structured FCN Based LiDAR to Color Image Generation

Sensors, 2019
In this paper, we propose a method of generating a color image from light detection and ranging (LiDAR) 3D reflection intensity. The proposed method is composed of two steps: projection of LiDAR 3D reflection intensity into 2D intensity, and color image ...
Hyun-Koo Kim, Kook-Yeol Yoo, Ju H. Park, Ho-Youl Jung   +3 more
doaj   +1 more source

A Face Spoofing Detection Method Based on Domain Adaptation and Lossless Size Adaptation

IEEE Access, 2020
In this paper, a face spoofing detection method called the Fully Convolutional Network with Domain Adaptation and Lossless Size Adaptation (FCN-DA-LSA) is proposed.
Wenyun Sun, Yu Song, Haitao Zhao, Zhong Jin   +3 more
doaj   +1 more source

Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases

Advanced Science, Volume 13, Issue 5, 27 January 2026.
Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li, Tianxiang Xiao, Yuanyuan Lan, Chengxiao Wu, Zhouying Li, Rong Liu, Qing Fang, Chao Zhang   +7 more
wiley   +1 more source