Results 121 to 130 of about 2,777 (169)

Topological Analysis of the Human Lymph Node Reticular Network Predicts Outcome in Breast Cancer

Llewellyn A, D’Costa S, Lam R, Gore J, Lachina V, Shewring D, Acton SE, Naidoo K.   +7 more
europepmc   +1 more source

Curvelet変換とBandelet変換(Curvelet Transform and Bandelet Transform)

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 2005
openaire   +2 more sources

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

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

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

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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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, Licheng Jiao, Fang Liu, Shuyuan Yang, Biao Hou, Xu Liu   +5 more
openaire   +2 more sources

Quaternionic curvelet transform

Optik, 2017
Abstract In this paper, we extend the continuous curvelet transform to the space of quaternion valued functions using convolution. We prove that the quaternionic curvelet transform is consistent with the continuous curvelet transform of complex valued functions.
L. Akila, R. Roopkumar
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Curvelet based image fusion

2012 World Congress on Information and Communication Technologies, 2012
This paper presents an efficient image fusion algorithm which is based on curvelet transform. It makes use of different characteristics of the same geographical area obtained from more than one image, to obtain a more informative image. Experiments have been carried out to fuse monochromatic PAN (PANchromatic) satellite image with a multispectral LISS (
Monika Verma, Vandana D Kaushik, C. V. Rao   +2 more
openaire   +1 more source