Results 61 to 70 of about 526,391 (261)

Text Detection on Images using Region-based Convolutional Neural Network

UHD Journal of Science and Technology, 2020
In this paper, a new text detection algorithm that accurately locates picture text with complex backgrounds in natural images is applied. The approach is based primarily on the region-based convolutional neural network anchor system, which takes into ...
Hamsa D. Majeed
doaj   +1 more source

Detecting and Highlighting Text in Images

Proceedings of the Spring/Summer Young Researchers' Colloquium on Software Engineering, 2014
The work describes the problem of detecting and highlighting text in images. For the comparison, it contains the existing methods to solve this problem, advantages and disadvantages of them and, as a result, own approach to solving the task is proposed.
openaire   +2 more sources

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

A REVIEW ON TEXT DETECTION TECHNIQUES

Jurnal Teknologi, 2015
Text detection in image is an important field. Reading text in image is challenging because of the variations in images. Text detection in images is useful for many navigational purposes e.g. text on google API’s and traffic panels etc. This paper analyzes the work done on text detection by many researchers and critically evaluates the techniques ...
Sana Ali, Khalid Iqbal, Saira Khan, Rehan Tariq, Qazi Zohaib Aqil   +4 more
openaire   +2 more sources

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

A person re‐identification method for sports event scenes incorporating textual information mining

IET Image Processing
Person re‐identification represents a pivotal sub‐problem in image retrieval, boasting broad application prospects in fields such as intelligent security and video surveillance.
Runmin Wang, Yanbin Zhu, Zukun Wan, Hua Chen, Zhenlin Zhu, Weixin Zhou, Chang Han, Yajun Ding   +7 more
doaj   +1 more source

MULDT: Multilingual Ultra-Lightweight Document Text Detection for Embedded Devices

IEEE Access
Recent research on text detection has focused on scenes “in the wild”, while there is still a demand for a fast and high-quality model for the document domain.
Alexander Gayer, Vladimir V. Arlazarov
doaj   +1 more source

Emotion Detection in Text: a Review

CoRR, 2018
In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, artificial intelligence, etc. Access to a huge amount of textual data, especially opinionated and self-expression text also played a special role to bring attention to this ...
Armin Seyeditabari, Narges Tabari, Wlodek Zadrozny   +2 more
openaire   +3 more sources

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source