Image fusion using hybrid methods in multimodality medical images
An image fusion based on multimodal medical images renders a considerable
enhancement in the quality of fused images. An effective image fusion technique produces …
enhancement in the quality of fused images. An effective image fusion technique produces …
[HTML][HTML] State-of-the-art in retinal optical coherence tomography image analysis
Optical coherence tomography (OCT) is an emerging imaging modality that has been widely
used in the field of biomedical imaging. In the recent past, it has found uses as a diagnostic …
used in the field of biomedical imaging. In the recent past, it has found uses as a diagnostic …
Jpgnet: Joint predictive filtering and generative network for image inpainting
Image inpainting aims to restore the missing regions of corrupted images and make the
recovery result identical to the originally complete image, which is different from the common …
recovery result identical to the originally complete image, which is different from the common …
BM3D-based total variation algorithm for speckle removal with structure-preserving in OCT images
In this paper, we propose a total variation based on block matching 3D (BM3D-TV method),
which includes the total variation regular term, the data fidelity term, and the block matching …
which includes the total variation regular term, the data fidelity term, and the block matching …
Involuntary eye motion correction in retinal optical coherence tomography: Hardware or software solution?
In this paper, we review state-of-the-art techniques to correct eye motion artifacts in Optical
Coherence Tomography (OCT) imaging. The methods for eye motion artifact reduction can …
Coherence Tomography (OCT) imaging. The methods for eye motion artifact reduction can …
Analysis methods of coronary artery intravascular images: A review
Coronary artery disease is among one of the diseases human suffer most. Intravascular
coronary arterial image analysis consists of denoising, segmentation, detection, and three …
coronary arterial image analysis consists of denoising, segmentation, detection, and three …
Three-dimensional segmentation of retinal cysts from spectral-domain optical coherence tomography images by the use of three-dimensional curvelet based K-SVD
M Esmaeili, AM Dehnavi, H Rabbani… - Journal of Medical …, 2016 - journals.lww.com
This paper presents a new three-dimensional curvelet transform based dictionary learning
for automatic segmentation of intraretinal cysts, most relevant prognostic biomarker in …
for automatic segmentation of intraretinal cysts, most relevant prognostic biomarker in …
Hybrid image denoising method based on non‐subsampled contourlet transform and bandelet transform
The second generation bandelet transform uses the two‐dimensional (2D) separable
wavelet transform to improve its image denoising and compression performance. However …
wavelet transform to improve its image denoising and compression performance. However …
Retinal image preprocessing, enhancement, and registration
Preprocessing and enhancement is a prerequisite for a wide range of retinal image analysis
methods. The goals of such tasks are to improve images and facilitate their subsequent …
methods. The goals of such tasks are to improve images and facilitate their subsequent …
Speckle reduction based on fractional-order filtering and boosted singular value shrinkage for optical coherence tomography image
Optical coherence tomography (OCT) is a micrometer-resolution optical imaging technology
that has been widely used in many fields, such as medicine and materials science …
that has been widely used in many fields, such as medicine and materials science …