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Image Enhancement

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A general framework for wireless capsule endoscopy study synopsis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
We present a general framework for analysis of wireless capsule endoscopy (CE) studies. The current available workstations provide a time-consuming and labor-intense work-flow for clinicians which requires the inspection of the full-length video. The...

A framework for optimal kernel-based manifold embedding of medical image data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Kernel-based dimensionality reduction is a widely used technique in medical image analysis. To fully unravel the underlying nonlinear manifold the selection of an adequate kernel function and of its free parameters is critical. In practice, however, ...

Joint sparse coding based spatial pyramid matching for classification of color medical image.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Although color medical images are important in clinical practice, they are usually converted to grayscale for further processing in pattern recognition, resulting in loss of rich color information. The sparse coding based linear spatial pyramid match...

A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Tissue texture is known to exhibit a heterogeneous or non-stationary nature; therefore using a single resolution approach for optimum classification might not suffice. A clinical decision support system that exploits the subbands' textural fractal ch...

A multistaged automatic restoration of noisy microscopy cell images.

IEEE journal of biomedical and health informatics
Automated cell segmentation for microscopy cell images has recently become an initial step for further image analysis in cell biology. However, microscopy cell images are easily degraded by noise during the readout procedure via optical-electronic im...

Biomedical image segmentation using geometric deformable models and metaheuristics.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
This paper describes a hybrid level set approach for medical image segmentation. This new geometric deformable model combines region- and edge-based information with the prior shape knowledge introduced using deformable registration. Our proposal con...

Deep learning image enhancement for confident diagnosis of TMJ osteoarthritis in zero-TE MR imaging.

Dento maxillo facial radiology
OBJECTIVES: This study aimed to evaluate the effectiveness of deep learning method for denoising and artefact reduction (AR) in zero echo time MRI (ZTE-MRI). Also, clinical applicability was evaluated by comparing image diagnosis to the temporomandib...

Dual-channel lightweight GAN for enhancing color retinal images with noise suppression and structural protection.

Journal of the Optical Society of America. A, Optics, image science, and vision
As we all know, suppressing noise while maintaining detailed structure has been a challenging problem in the field of image enhancement, especially for color retinal images. In this paper, a dual-channel lightweight GAN named dilated shuffle generati...