Results 101 to 110 of about 35,379,486 (305)

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., Assen, HC Hans van, Assen, Hans C. van, Luc Florack, Assen, van, H.C., Florack, Luc, Florack, LMJ Luc, Hans van Assen   +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

Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein

FEBS Letters, EarlyView.
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux, Christian Lévêque, Fodil Azzaz, Marion Sangiardi, Sarosh R Irani, Michael Seagar, Jacques Fantini, Oussama El Far   +7 more
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., Duncan, James S., Florack, Luc, Romeny, Bart M. ter Haar, Nielsen, Mads, Niessen, Wiro J.   +5 more
core   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
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, Cohen, Adam, Galdran, Adrian, Costa, Pedro, Campilho, Aurélio   +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, Luo, Xiangyang, Zheng, Xin, Guo, Yanqing, Wang, Qianyu   +4 more
core   +1 more source

Invisible but not inaccessible—Revealing transient oligomers formed by intrinsically disordered proteins with solution NMR and complementary methods

FEBS Letters, EarlyView.
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley   +1 more source

A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language

IEEE Access
A fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, syntactic parsing, speech recognition, and semantic parsing.
Shaheen Ullah, Riaz Ahmad, Abdallah Namoun, Siraj Muhammad, Khalil Ullah, Ibrar Hussain, Isa Ali Ibrahim   +6 more
doaj   +1 more source