Results 81 to 90 of about 106,876 (300)

Automated Coronary Optical Coherence Tomography Feature Extraction with Application to Three-Dimensional Reconstruction

Tomography, 2022
Coronary optical coherence tomography (OCT) is an intravascular, near-infrared light-based imaging modality capable of reaching axial resolutions of 10–20 µm.
Harry J. Carpenter, Mergen H. Ghayesh, Anthony C. Zander, Jiawen Li, Giuseppe Di Giovanni, Peter J. Psaltis   +5 more
doaj   +1 more source

Unsupervised Text Feature Extraction for Academic Chatbot using Constrained FP-Growth [PDF]

, 2021
In the edge where conversation merely involves online chatting and texting one another, an automated conversational agent is needed to support certain repetitive tasks such as providing FAQs, customer service and product recommendations.
Suraya Alias, Mohd Shamrie Sainin, Teoh, Lee Sheng, Tan, Soo Fun, Norhayati Daut   +4 more
core   +1 more source

GPU Accelerated Automated Feature Extraction From Satellite Images

International Journal of Distributed and Parallel systems, 2013
The availability of large volumes of remote sensing data insists on higher degree of automation in feature extraction, making it a need of the hour.The huge quantum of data that needs to be processed entails accelerated processing to be enabled.GPUs, which were originally designed to provide efficient visualization, are being massively employed for ...
K. Phani Tejaswi, D. Shanmukha Rao, Thara Nair, A. V. V. Prasad   +3 more
openaire   +2 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Deep learning-driven medical image analysis for computational material science applications

Frontiers in Materials
IntroductionDeep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science remains underexplored, despite the increasing need for ...
Li Lu, Mingpei Liang
doaj   +1 more source

Fusion of dynamic and static features for gait recognition over time [PDF]

, 2005
Gait recognition aims to identify people at a distance based on the way they walk. This paper deals with a problem of recognition by gait when time-dependent covariates are added, i.e.
Veres, Galina V, M.S. Nixon, G.V. Veres, Nixon, Mark S, L. Middleton, Middleton, Lee, Carter, John N., J.N. Carter   +7 more
core   +1 more source

Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images

, 2021
Optical coherence tomography (OCT) images coupled with many learning techniques have been developed to diagnose retinal disorders. This work aims to develop a novel framework for extracting deep features from 18 pre-trained convolutional neural networks (
Barua, Prabal Datta, Baygin, Mehmet, Islam, Nazrul, Shahid, Zakia Sultana, Tuncer, Turker, Kang Hao Cheong, Sengul Dogan, Cheong, Kang Hao, Chan, Wai Yee Chan, Dogan, Sengul, Mehmet Baygin, Nazrul Islam, U. Rajendra Acharya, Ciaccio, Edward J., Wai Yee Chan, Edward J. Ciaccio, Zakia Sultana Shahid, Prabal Datta Barua, Turker Tuncer, Acharya, Rajendra   +19 more
core   +1 more source

A novel automated spike sorting algorithm with adaptable feature extraction

Journal of Neuroscience Methods, 2012
To study the electrophysiological properties of neuronal networks, in vitro studies based on microelectrode arrays have become a viable tool for analysis. Although in constant progress, a challenging task still remains in this area: the development of an efficient spike sorting algorithm that allows an accurate signal analysis at the single-cell level.
Bestel, Robert, Daus, Andreas W., Thielemann, Christiane   +2 more
openaire   +2 more sources

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

Molecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis, Jack V. Mills, Wojciech Niedzwiedz, Valentine M. Macaulay   +3 more
wiley   +1 more source

JamesMulqueeney/Automated-3D-Feature-Extraction: Automated-3D-Feature-Extraction

<p>Corresponds to the following paper: How many specimens make a sufficient training set for automated 3D feature extraction?</p ...
James Mulqueeney
core   +1 more source