Results 61 to 70 of about 715,312 (261)

Unsupervised Image Segmentation using the Deffuant-Weisbuch Model from Social Dynamics

, 2016
Unsupervised image segmentation algorithms aim at identifying disjoint homogeneous regions in an image, and have been subject to considerable attention in the machine vision community.
Kayal, Subhradeep
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Recurrent Segmentation for Variable Computational Budgets

, 2018
State-of-the-art systems for semantic image segmentation use feed-forward pipelines with fixed computational costs. Building an image segmentation system that works across a range of computational budgets is challenging and time-intensive as new ...
Maheswaranathan, Niru, McIntosh, Lane, Shlens, Jonathon, Sussillo, David   +3 more
core   +1 more source

Construction of image segmentation system combining TC and swarm intelligence algorithm

Nonlinear Engineering
Considering the slow convergence speed and local optima in most current swarm intelligence algorithms for image segmentation, this study combines the thresholding clustering with intelligent algorithms.
Wang Yongtao
doaj   +1 more source

An efficient approach for optimal multilevel thresholding selection for gray scale images based on improved differential search algorithm

Ain Shams Engineering Journal, 2018
Segmentation is one of the important steps for image analysis. Multilevel thresholding image segmentation was more popular in image segmentation. Otsu and Kapur based methods are most popular for multilevel threshold image segmentation.
Sowjanya Kotte, P. Rajesh Kumar, Satish Kumar Injeti   +2 more
doaj   +1 more source

A Survey on Medical Image Segmentation Based on Deep Learning Techniques

Big Data and Cognitive Computing, 2022
Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the deep learning medical field, including the major common issues published in recent
Jayashree Moorthy, Usha Devi Gandhi
doaj   +1 more source

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

FEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui‐Ting Lee, Jun Zhang   +10 more
wiley   +1 more source

Learning Segmentation Masks with the Independence Prior

, 2018
An instance with a bad mask might make a composite image that uses it look fake. This encourages us to learn segmentation by generating realistic composite images.
Chen, Yimin, Dai, Songmin, Li, Xiaoqiang, Tong, Weiqin, Wang, Lu, Wu, Pin   +5 more
core   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

Model-based learning of local image features for unsupervised texture segmentation

, 2017
Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task.
Kiechle, Martin, Kleinsteuber, Martin, Storath, Martin, Weinmann, Andreas   +3 more
core   +1 more source