Results 111 to 120 of about 4,760 (175)

Transformer enhanced autoencoder rendering cleaning of noisy optical coherence tomography images. [PDF]

J Med Imaging (Bellingham)
Ahmed H, Zhang Q, Donnan R, Alomainy A.
europepmc   +1 more source

Fibre tracing in biomedical images: An objective comparison between seven algorithms. [PDF]

PLoS One
Arafat Y, Cuesta-Apausa C, Castellano E, Reyes-Aldasoro CC.   +3 more
europepmc   +1 more source

Comparative Analysis of GF-5 and Sentinel-2A Fusion Methods for Lithological Classification: The Tuanjie Peak, Xinjiang Case Study. [PDF]

Sensors (Basel)
Chi Y, Zhang N, Jin L, Liao S, Zhang H, Chen L.   +5 more
europepmc   +1 more source

Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients. [PDF]

Sci Rep
Abbasi IA, Alshehri M, AlQahtani Y.
europepmc   +1 more source

A mouse model of TB-associated lung fibrosis reveals persistent inflammatory macrophage populations during treatment

Boucau J, Naidoo T, Liu Y, Dasgupta S, Jain N, Castillo JR, Jacobson NE, Nargan K, Cimini BA, Eliceiri KW, Steyn AJ, Barczak AK.   +11 more
europepmc   +1 more source

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Guided waves filtering with warped curvelets

Proceedings of SPIE, 2011
Lamb wave testing for SHM is complicated by multimodal propagation and by reflections. In this paper, the effectiveness of the decomposition inWarped Curvelet Frames for the analysis of guided ultrasonic waves is studied. The transformation acts by expanding the analyzed signal into a tight frame of basis functions named Curvelets.
Massimo Ruzzene, Luca De Marchi, Nicolò Speciale   +2 more
exaly   +3 more sources

Optical image fusion using support value transform (SVT) and curvelets

Optik, 2015
R Vidhya
exaly   +2 more sources

New tight frames of curvelets and optimal representations of objects with piecewiseC2singularities

Communications on Pure and Applied Mathematics, 2004
E. Candès, D. Donoho
exaly   +2 more sources

Multiscale Curvelet Scattering Network

IEEE Transactions on Neural Networks and Learning Systems, 2023
Feature representation has received more and more attention in image classification. Existing methods always directly extract features via convolutional neural networks (CNNs). Recent studies have shown the potential of CNNs when dealing with images' edges and textures, and some methods have been explored to further improve the representation process ...
Jie Gao 0013, Licheng Jiao, Fang Liu 0001, Shuyuan Yang 0001, Biao Hou, Xu Liu 0006   +5 more
openaire   +2 more sources

Remote-sensing image fusion based on curvelets and ICA

International Journal of Remote Sensing, 2015
Morteza Ghahremani, Hassan Ghassemian
exaly   +2 more sources