Results 41 to 50 of about 366,438 (285)
LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture
IEEE AccessLarge-scale LiDAR-based point cloud semantic segmentation is a critical challenge for autonomous driving perception. Most state-of-the-art LiDAR semantic segmentation methods rely on complex operators, such as sparse 3D convolutions or KdTree structures,
Chuanyu Luo +6 more
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A Watershed-Segmentation-Based Improved Algorithm for Extracting Cultivated Land Boundaries
Remote Sensing, 2021 To accurately extract cultivated land boundaries based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm was proposed herein based on a combination of pre- and post-improvement procedures.
Yongan Xue, Jinling Zhao, Mingmei Zhang
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Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Molecular Oncology, EarlyView.Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
A lightweight network for brain MRI segmentation
Scientific ReportsBrain MRI segmentation plays a crucial role in medical imaging, aiding in the identification and monitoring of brain diseases. This research presents a novel deep learning-based framework designed to achieve high segmentation accuracy while maintaining a
Pubali Chatterjee +2 more
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Journal of Measurement Science and Instrumentation, 2022 In view of the problems of multi-scale changes of segmentation targets, noise interference, rough segmentation results and slow training process faced by medical image semantic segmentation, a multi-scale residual aggregation U-shaped attention network ...
SHAO Shuo, GE Hongwei
doaj
International Journal of Applied Earth Observations and Geoinformation, 2021 Although many notable improvements have been devoted to the semantic segmentation of laser scanning (LS) data, the extreme complexity of scanned scenes poses significant challenges in achieving the effective distribution of a category label per point ...
Tengping Jiang +5 more
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Multiresolution segmentation of natural images: from linear to nonlinear scale-space representations [PDF]
IEEE Transactions on Image Processing, 2004 In this paper, we introduce a framework that merges classical ideas borrowed from scale-space and multiresolution segmentation with nonlinear partial differential equations. A non-linear scale-space stack is constructed by means of an appropriate diffusion equation.
Ana, Petrovic +2 more
openaire +2 more sources
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Multilevel Space-Time Aggregation for Bright Field Cell Microscopy Segmentation and Tracking
International Journal of Biomedical Imaging, 2010 A multilevel aggregation method is applied to the problem of segmenting live cell bright field microscope images. The method employed is a variant of the so-called “Segmentation by Weighted Aggregation” technique, which itself is based on Algebraic ...
Tiffany Inglis +6 more
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Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
, 2015 In this paper, we propose a novel geometric model fitting method, called Mode-Seeking on Hypergraphs (MSH),to deal with multi-structure data even in the presence of severe outliers. The proposed method formulates geometric model fitting as a mode seeking
Suter, David +3 more
core +1 more source