Results 21 to 30 of about 430,392 (288)

An automated pattern recognition system for the quantification of inflammatory cells in hepatitis-C-infected liver biopsies [PDF]

, 2006
This paper presents an automated system for the quantification of inflammatory cells in hepatitis-C-infected liver biopsies. Initially, features are extracted from colour-corrected biopsy images at positions of interest identified by adaptive ...
Bishop, Bland, Booth, Box, Caballero, Cross, Donato, Duda, Goldin, Hanley, Haralick, Ishak, Jain, Jain, Kendall, Lake-Bakaar, Myers, Nabney, O'Brien, Pudil, Robert F. Harrison, Russ, Schalkoff, Scheuer, Simon Hodgson, Simon S. Cross, Teo, Werling, Würflinger, Zuwaylif   +29 more
core   +1 more source

CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition

IEEE Access, 2019
Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA) for real time driving ...
Liang Xie, Jili Tao, Qianni Zhang, Huiyu Zhou   +3 more
doaj   +1 more source

Automated phenotype pattern recognition of zebrafish for high-throughput screening [PDF]

Bioengineered, 2016
Over the last years, the zebrafish (Danio rerio) has become a key model organism in genetic and chemical screenings. A growing number of experiments and an expanding interest in zebrafish research makes it increasingly essential to automatize the distribution of embryos and larvae into standard microtiter plates or other sample holders for screening ...
Schutera, Mark, Dickmeis, Thomas, Mione, Maria Caterina, Peravali, Ravindra, Marcato, Daniel, Reischl, Markus, Mikut, Ralf, Pylatiuk, Christian   +7 more
openaire   +4 more sources

Automated identification of Fos expression [PDF]

, 2001
The concentration of Fos, a protein encoded by the immediate-early gene c-fos, provides a measure of synaptic activity that may not parallel the electrical activity of neurons.
Cherkerzian, S., Cohen, B.M., Ennulat, D.J., Evans, M.L., Froimowitz, M.P., Lange, N., Ma, J., Young, D.   +7 more
core   +1 more source

Pattern recognition software and techniques for biological image analysis.

PLoS Computational Biology, 2010
The increasing prevalence of automated image acquisition systems is enabling new types of microscopy experiments that generate large image datasets. However, there is a perceived lack of robust image analysis systems required to process these diverse ...
Lior Shamir, John D Delaney, Nikita Orlov, D Mark Eckley, Ilya G Goldberg   +4 more
doaj   +1 more source

Computer vision for microscopy diagnosis of malaria

Malaria Journal, 2009
This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears.
Dempster Andrew G, Tek F Boray, Kale Izzet   +2 more
doaj   +1 more source

Application of decision trees in the identification of patterns of fatal injuries by external cause in the municipality of Pasto, Colombia

Universidad y Salud, 2017
Introduction: The Pan American Health Organization (PHO) and the World Health Organization (WHO) accepted, since the year 1993 and 1996 respectively, that violence is a public health problem, a situation that is corroborated in the report on violence and
Ricardo Timaran-Pereira, Andrés Calderón-Romero, Arsenio Hidalgo-Troya   +2 more
doaj   +1 more source

Mango Leaf Disease Recognition and Classification Using Novel Segmentation and Vein Pattern Technique

Applied Sciences, 2021
Mango fruit is in high demand. So, the timely control of mango plant diseases is necessary to gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as manual disease detection is not a feasible choice in this ...
Rabia Saleem, Jamal Hussain Shah, Muhammad Sharif, Mussarat Yasmin, Hwan-Seung Yong, Jaehyuk Cha   +5 more
doaj   +1 more source

Statistical Proof Pattern Recognition: Automated or Interactive?

, 2013
In this paper, we compare different existing approaches employed in data mining of big proof libraries in automated and interactive theorem proving.
Heras, Jónathan, Komendantskaya, Ekaterina   +1 more
openaire   +2 more sources

Automated Classification of Starch Granules Using Supervised Pattern Recognition of Morphological Properties [PDF]

, 2010
Image analysis techniques have been used to investigate the likelihood of being able to classify and assign a probability regarding the plant origin of individual starch granules in a collection of granules.
Allen, Richard, Collins, Matthew, Copeland, Les, Hardy, Karen, Wilson, Julie, Wrangham, Richard W.   +5 more
core   +1 more source