Results 21 to 30 of about 90,756 (258)

NCLG-UNet: A Lightweight U-Net Based on Non-Causal State Space Duality and Laplacian Guidance for Medical Image Segmentation

IEEE Access
Medical image segmentation requires accurate lesion boundary delineation under complex structural variations and interference conditions. However, lightweight models are constrained by their limited parameter capacity and computational budgets, making it
Siyi Li, Gaocai Wang, Yiwen Li
doaj   +1 more source

Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces

CoRR, 2016
We formulate a general energy and method for segmentation that is designed to have preference for segmenting the coarse structure over the fine structure of the data, without smoothing across boundaries of regions. The energy is formulated by considering data terms at a continuum of scales from the scale space computed from the Heat Equation within ...
Ganesh Sundaramoorthi, Naeemullah Khan, Byung-Woo Hong   +2 more
openaire   +2 more sources

HiMamba-Net: a Hilbert-serialized Mamba network for 3D point cloud instance segmentation

Scientific Reports
Instance-level segmentation of large-scale 3D point clouds is a fundamental yet challenging task due to complex spatial structures, severe occlusions, and long-range dependencies.
Kai Zhao, Dai Shi, Yi Guo, Suzy Rogiers, Oula Ghannoum   +4 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

The Empirical Watershed Wavelet

Journal of Imaging, 2020
The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain.
Basile Hurat, Zariluz Alvarado, Jérôme Gilles   +2 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Attention Guided Encoder-Decoder Network With Multi-Scale Context Aggregation for Land Cover Segmentation

IEEE Access, 2020
Land cover segmentation is an important and challenging task in the field of remote sensing. Even though convolutional neural networks (CNNs) provide great support for semantic segmentation, standard models are still difficult to capture global ...
Shuyang Wang, Xiaodong Mu, Dongfang Yang, Hao He, Peng Zhao   +4 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Precise segmentation method for slender power targets based on multi-scale perception and location-sensitive learning

Scientific Reports
In power systems, precise wire segmentation holds significant technical value for ensuring the safe operation and maintenance of electrical facilities, yet achieving high-precision and efficient intelligent segmentation under complex scenarios involving ...
Dong Zhang, Pengjun Xie, Haowei Chen, Jiange Liu, Huaining Zhang, Jiawei Wang   +5 more
doaj   +1 more source

Image segmentation through the scale-space random walker [PDF]

, 2021
This thesis proposes an extension to the Random Walks assisted segmentation algorithm that allows it to operate on a scale-space. Scale-space is a multi-resolution signal analysis method that retains all of the structures in an image through progressive blurring with a Gaussian kernel.
openaire   +1 more source