Results 81 to 90 of about 2,482,901 (176)

A Novel Framework for Cardiovascular Disease Detection Using a Hybrid CWT-SIFT Image Representation and a Lightweight Residual Attention Network. [PDF]

Diagnostics (Basel)
El Boujnouni I.
europepmc   +1 more source

See the small lesions: Frequency-guided spatial debiasing GAN for multimodal medical image fusion. [PDF]

iScience
Zhou T, Wang J, Lu H, Zhang M, Zhang Z, Yu H, Zheng P.   +6 more
europepmc   +1 more source

Multimodal data fusion in neuroscience: promises, challenges and future directions. [PDF]

IEEE Signal Process Mag
Liang C, Silva RF, TulayAdali, Jiang R, Zhang D, Qi S, Calhoun VD.   +6 more
europepmc   +1 more source

Sclera Identification using Contourlet Transform

International Journal of Recent Trends in Engineering and Research, 2017
openaire   +1 more source

CERVIXNET: An Efficient Approach for the Detection and Classifications of the Cervigram Images Using Modified Deep Learning Architecture. [PDF]

Curr Med Imaging
Karthikeyan N, Chandrasekaran G, Sudha S.   +2 more
europepmc   +1 more source

Multi-scale covariance filtering for edge-preserving medical image fusion. [PDF]

Sci Rep
Sharma S, Rani S, Dogra A, Shabaz M.
europepmc   +1 more source

A pipelined, resource-efficient convolutional neural network architecture for detecting and diagnosing Alzheimer's disease using brain sMRI. [PDF]

Front Neurosci
Prasath T, Sumathi V.
europepmc   +1 more source

Robust and imperceptible image watermarking using chaotic map-integrated quantum-inspired multi-objective cuckoo search optimization. [PDF]

Sci Rep
Dubey P, Saudagar AKJ, Poonia RC, Asati M.   +3 more
europepmc   +1 more source

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The Nonsubsampled Contourlet Transform: Theory, Design, and Applications

IEEE Transactions on Image Processing, 2006
In this paper, we develop the nonsubsampled contourlet transform (NSCT) and study its applications. The construction proposed in this paper is based on a nonsubsampled pyramid structure and nonsubsampled directional filter banks. The result is a flexible multiscale, multidirection, and shift-invariant image decomposition that can be efficiently ...
Arthur L. da Cunha, Jianping Zhou 0001, Minh N. Do   +2 more
openaire   +4 more sources

Enhancing retinal image by the Contourlet transform

Pattern Recognition Letters, 2007
The evaluation of retinal images is widely used to help doctors diagnose many diseases, such as diabetes or hypertension. Due to the acquisition process, retinal images often have low grey level contrast and dynamic range. This problem may seriously affect the diagnostic procedure and its results.
Biao Wei, Peng Feng, Yingjun Pan
exaly   +3 more sources