Results 31 to 40 of about 9,000,286 (286)

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

open access: yesFEBS 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   +4 more
wiley   +1 more source

Colour Text Segmentation in Web Images Based on Human Perception [PDF]

open access: yes, 2007
There is a significant need to extract and analyse the text in images on Web documents, for effective indexing, semantic analysis and even presentation by non-visual means (e.g., audio).
Karatzas, Dimosthenis   +1 more
core   +2 more sources

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS 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   +5 more
wiley   +1 more source

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

open access: yesScientific 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   +5 more
doaj   +1 more source

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

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

open access: yes, 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

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

open access: yesFEBS 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   +4 more
wiley   +1 more source

Automatic texture segmentation for content-based image retrieval application [PDF]

open access: yes, 2006
In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm.
Fauzi, M.F.A.   +3 more
core   +2 more sources

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

open access: yesFEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta   +3 more
wiley   +1 more source

A Large-Scale Synthetic Benchmark Dataset for Non-Cooperative Space Target Perception

open access: yesScientific Data
The automatic, accurate perception of targets in space is a crucial prerequisite for many on-orbit aerospace missions. Therefore, research on perception technologies within spaceborne images is meaningful.
Yuxuan Liu   +4 more
doaj   +1 more source

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