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Comput. Biol. Medicine
Breast cancer is a leading cause of cancer-related deaths among women. Advances in early diagnosis and treatment, particularly through screening mammography, have reduced mortality rates by enabling the detection of small tumors.
Mahdi Firouzbakht, Maryam Amirmazlaghani
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Breast cancer is a leading cause of cancer-related deaths among women. Advances in early diagnosis and treatment, particularly through screening mammography, have reduced mortality rates by enabling the detection of small tumors.
Mahdi Firouzbakht, Maryam Amirmazlaghani
semanticscholar +1 more source
THE UNCERTAINTY PRINCIPLE ASSOCIATED WITH THE CONTINUOUS SHEARLET TRANSFORM
International Journal of Wavelets, Multiresolution and Information Processing, 2008Finding optimal representations of signals in higher dimensions, in particular directional representations, is currently the subject of intensive research. Since the classical wavelet transform does not provide precise directional information in the sense of resolving the wavefront set, several new representation systems were proposed in the past ...
Stephan Dahlke +5 more
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IEEE Transactions on Instrumentation and Measurement, 2019
As an effective way to integrate the information contained in multiple medical images with different modalities, medical image fusion has emerged as a powerful technique in various clinical applications such as disease diagnosis and treatment planning ...
M. Yin, Xiaoning Liu, Yu Liu, Xun Chen
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As an effective way to integrate the information contained in multiple medical images with different modalities, medical image fusion has emerged as a powerful technique in various clinical applications such as disease diagnosis and treatment planning ...
M. Yin, Xiaoning Liu, Yu Liu, Xun Chen
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On the shearlet transform using hyperbolic functions
2014Summary: In this paper, we focus on the study of shearlet transform which is defined by using the hyperbolic functions. As a result, we check an admissibility condition such that implies the reconstruction formula. To this end, we use the concept of the classical shearlet, which indicates the position and direction of a singularity.
Zare, Masoumeh +2 more
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International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, 2022
Alzheimer’s disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Several researchers have developed numerous methods for AD stage classification based on machine learning and deep learning over the last few ...
Meriem Saim, A. Feroui
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Alzheimer’s disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Several researchers have developed numerous methods for AD stage classification based on machine learning and deep learning over the last few ...
Meriem Saim, A. Feroui
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Shearlet and contourlet transforms for analysis of electrocardiogram signals
Computer Methods and Programs in Biomedicine, 2018Cardiac arrhythmia is an abnormal variation in the heart electrical activity that affects millions of people worldwide. Electrocardiogram (ECG) signals have been widely used to assess and diagnose cardiac abnormalities.A novel methodology based on shearlet and contourlet transforms for automatically classify an input ECG signal into different heart ...
Paulo H. J. Amorim +4 more
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Regularized Full-Waveform Inversion With Shearlet Transform and Total Generalized Variation
IEEE Transactions on Geoscience and Remote SensingFull-waveform inversion (FWI) is a powerful method of reconstructing subsurface properties during seismic exploration. However, it is difficult for FWI to accurately describe a subsurface model with sharp surfaces and smooth variations because of the ...
Hanyang Wang, Siwei Yu
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International journal of pattern recognition and artificial intelligence, 2022
This paper presents a new fusion scheme for medical (CT-MRI) images which is based on the nonsubsampled shearlet transform (NSST). The various image pairs to be fused are obtained from primary and internet sources.
Sharma Dileepkumar Ramlal +3 more
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This paper presents a new fusion scheme for medical (CT-MRI) images which is based on the nonsubsampled shearlet transform (NSST). The various image pairs to be fused are obtained from primary and internet sources.
Sharma Dileepkumar Ramlal +3 more
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Adaptive Nonsubsampled Shearlet Transform and Its Application to Surface Wave Suppression
IEEE Transactions on Geoscience and Remote SensingThis article proposes a new surface wave suppression method based on nonsubsampled Shearlet transform (NSST). First, we use a frequency wavenumber (FK) Filter to extract surface wave noise from seismic data. We then apply a Shearlet transform to both the
Shiqi Lv +5 more
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A saliency detection model using shearlet transform
Multimedia Tools and Applications, 2014Visual attention is a mechanism to derive possible locations of objects or regions from natural scenes, and many studies have tried to simulate this mechanism to build saliency detection models, which would accelerate the course of many applications, such as object location, detection and recognition, image segmentation, retrieval and so on.
Lei Bao +3 more
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