Results 91 to 100 of about 35,694,464 (306)
Multiplicative calculus in biomedical image analysis [PDF]
, 2011 We advocate the use of an alternative calculus in biomedical image analysis, known as multiplicative (a.k.a. non-Newtonian) calculus. It provides a natural framework in problems in which positive images or positive definite matrix fields and positivity ...
Florack, L.M.J. +7 more
core +2 more sources
Feature Approach for Printed Document Image Analysis [PDF]
, 2002 This paper presents advances in zone classification for printed document image analysis. It firstly introduces entropic heuristic for text separation problem. Then a brief recall on existing texture and geometric discriminant parameters proposed in a previous research is done.
Jean Duong, Myriam Côté, Hubert Emptoz
openaire +2 more sources
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Multiscale approach to image sequence analysis
, 1997 In optic flow based velocity estimation the image brightness constraint equation is used. However, for measurements performed at a certain scale, the brightness constraint equation does not apply.
Viergever, Max A. +5 more
core +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Towards automated hyperspectral document image analysis
, 2013 Hyperspectral imaging and analysis refers to the capture and understanding of image content in multiple spectral channels. Satellite and airborne hyperspectral imaging has been the focus of research in remote sensing applications since nearly the past ...
Khan, Z., Mian, A., Shafait, F.
core
Artificial intelligence and deep learning in retinal image analysis
, 2019 Publisher Copyright: © 2019 Elsevier Ltd. All rights reserved.Our goal in this chapter is to describe the recent application of deep learning and artificial intelligence (AI) techniques to retinal image analysis.
Burlina, Philippe +4 more
core +1 more source
Multi-scale Multi-attention Network for Moiré Document Image Binarization
, 2021 In this paper, we propose a Multi-scale Multi-attention Network (MsMa-Net) to binarize document images contaminated by moiré patterns from camera-captured screens.
Ji, Caijuan +4 more
core +1 more source
A Printed PAW Image Database of Arabic Language for Document Analysis and Recognition
Journal of ICT Research and Applications, 2017 Document image analysis and recognition are important topics in the field of artificial intelligence. In this context, the availability of a database with good script samples is an important requirement for machine-learning processes. For Latin and Asian
Bilal Bataineh
doaj +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source