Results 101 to 110 of about 7,629,903 (299)

Image segmentation based on an improved CV model

四川大学学报. 自然科学版, 2017
In order to improve CV model’s performance on image with texture, we analyze the statistical properties of image texture components, and propose an improved segmentation algorithm.
XIA Xin, GE Long, MENG Hong-Yuan
doaj  

Calibrating and Visualizing Some Bootstrap Confidence Regions

Axioms
When the bootstrap sample size is moderate, bootstrap confidence regions tend to have undercoverage. Improving the coverage is known as calibrating the confidence region. Consider testing H0:θ=θ0 versus H1:θ≠θ0.
Welagedara Arachchilage Dhanushka M. Welagedara, David J. Olive   +1 more
doaj   +1 more source

An Efficient Construction of Confidence Regions via Swarm Intelligence and Its Application in Target Localization

IEEE Access, 2018
It is essential to enhance the speed and accuracy of the localization process to gain the robustness and instantaneous properties and to adapt from the practical environment of a confidence band.
Frank Po-Chen Lin, Frederick Kin Hing Phoa   +1 more
doaj   +1 more source

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

FEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth, Moritz Koch, Le‐Han Rössner, Johanna Eichhorn, Denys Pogoryelov, Matthias P. Mayer, Jude M. Przyborski   +6 more
wiley   +1 more source

Role of magnetic resonance spectroscopy to differentiate high-grade gliomas from metastases

Tumor Biology, 2017
This study is to measure the diagnostic examination quality of magnetic resonance spectroscopy in differentiating high-grade gliomas from metastases.
Qun Wang, JiaShu Zhang, WeiLin Xu, XiaoLei Chen, JianMin Zhang, BaiNan Xu   +5 more
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

From Conformal Predictions to Confidence Regions

CoRR
Conformal prediction methodologies have significantly advanced the quantification of uncertainties in predictive models. Yet, the construction of confidence regions for model parameters presents a notable challenge, often necessitating stringent assumptions regarding data distribution or merely providing asymptotic guarantees.
Charles Guille-Escuret, Eugène Ndiaye
openaire   +2 more sources

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

MSER Based Text Localization for Multi-language Using Double-Threshold Scheme

EAI Endorsed Transactions on e-Learning, 2015
In this paper, a region-based text localization that is robust for multiple languages is presented. Maximally Stable Extremal Regions (MSERs) are used for detecting candidates of text areas.
Chayut Wiwatcharakoses, Karn Patanukhom
doaj   +1 more source

Development of human monoclonal antibodies against TARM1 by yeast display

FEBS Open Bio, EarlyView.
Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe, Mayumi Saeki, Masaaki Hashiguchi, Sayaka Ono, Kazuhisa Aoki, Hidetaka Tanno   +5 more
wiley   +1 more source