Results 31 to 40 of about 258 (208)

A novel local skew correction and segmentation approach for printed multilingual Indian documents

Alexandria Engineering Journal, 2018
Till date, many Indian government organizations do not have robust software to search for words from scanned office documents having complex multilingual Indian scripts. Manual search of such a multilingual Indian document will take few minutes and there
Narasimha Reddy Soora, Parag S. Deshpande   +1 more
doaj   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Character Segmentation and Recognition for Myanmar Warning Signboard Images

International Journal of Networked and Distributed Computing (IJNDC), 2019
This paper publicizes the character segmentation and recognition of the Myanmar warning text signboard images taken by a mobile phone camera in natural scene. In this system, two templates are created.
Kyi Pyar Zaw, Zin Mar Kyu
doaj   +1 more source

Unsupervised Learning of Text Line Segmentation by Differentiating Coarse Patterns [PDF]

, 2021
Despite recent advances in the field of supervised deep learning for text line segmentation, unsupervised deep learning solutions are beginning to gain popularity. In this paper, we present an unsupervised deep learning method that embeds document image patches to a compact Euclidean space where distances correspond to a coarse text line pattern ...
Berat Kurar Barakat, Ahmad Droby, Raid Saabni, Jihad El-Sana   +3 more
openaire   +2 more sources

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique

Journal of Intelligent Systems, 2014
A novel piecewise water flow technique for text line extraction from multi-skewed document images of handwritten text of different scripts is presented here.
Sarkar Ram, Das Nibaran, Basu Subhadip, Kundu Mahantapas, Nasipuri Mita   +4 more
doaj   +1 more source

Character Detection and Segmentation of Historical Uchen Tibetan Documents in Complex Situations

IEEE Access, 2022
Tibetan is a low-resource language, and Tibetan culture carried by historical Tibetan documents is an important part of Chinese civilization. The study of historical Tibetan documents is of great significance to the protection of Tibetan culture and the ...
Ce Zhang, Weilan Wang, Huaming Liu, Guowei Zhang, Qiang Lin   +4 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Neurovascular Contacts in the Pathophysiology of Neuralgic Amyotrophy: An Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuralgic amyotrophy (NA) is a prevalent, monophasic, multifocal immune‐mediated neuropathy. A distinctive characteristic of the disease is the occurrence of nerve or fascicle constrictions and torsions (NA‐associated focal nerve lesions, NAFL). The pathophysiology underlying this phenomenon remains to be fully elucidated.
Johannes Fabian Holle, Andreas Leha, Volker Limmroth, Wolfram Windisch, Maximilian Zimmermann   +4 more
wiley   +1 more source

Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks

Journal of Imaging
Text line segmentation is a necessary preliminary step before most text transcription algorithms are applied. The leading deep learning networks used in this context (ARU-Net, dhSegment, and Doc-UFCN) are based on the U-Net architecture.
Florian Côme Fizaine, Patrick Bard, Michel Paindavoine, Cécile Robin, Edouard Bouyé, Raphaël Lefèvre, Annie Vinter   +6 more
doaj   +1 more source