AIMC Journal:
Medical image analysis

Showing 551 to 560 of 699 articles

GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.

Medical image analysis May 31, 2019
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neural networks achieved remarkable improvements in the field of computer vision. The dominant paradigm in segmentation is using convolutional neural netwo...
Image Processing, Computer-Assisted Models, Statistical Glioblastoma Humans Neural Networks, Computer Cytological Techniques Microscopy
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Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.

Medical image analysis May 25, 2019
Population imaging studies generate data for developing and implementing personalised health strategies to prevent, or more effectively treat disease. Large prospective epidemiological studies acquire imaging for pre-symptomatic populations. These st...
Neural Networks, Computer Female Male Humans United Kingdom Pattern Recognition, Automated Magnetic Resonance Imaging, Cine Heart Ventricles Biological Specimen Banks Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Models, Statistical
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Automated segmentation of macular edema in OCT using deep neural networks.

Medical image analysis May 10, 2019
Macular edema is an eye disease that can affect visual acuity. Typical disease symptoms include subretinal fluid (SRF) and pigment epithelium detachment (PED). Optical coherence tomography (OCT) has been widely used for diagnosing macular edema becau...
Image Interpretation, Computer-Assisted Tomography, Optical Coherence Macular Edema Humans Neural Networks, Computer Algorithms
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Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.

Medical image analysis May 5, 2019
Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is a critical step in medical image analysis. Over the past few years, many algorithms with impressive performances have been proposed. In this paper, inspired by the idea of...
Humans Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Signal-To-Noise Ratio Brain Deep Learning Imaging, Three-Dimensional
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An algorithm for learning shape and appearance models without annotations.

Medical image analysis Apr 30, 2019
This paper presents a framework for automatically learning shape and appearance models for medical (and certain other) images. The algorithm was developed with the aim of eventually enabling distributed privacy-preserving analysis of brain image data...
Magnetic Resonance Imaging Face Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Machine Learning Algorithms Brain
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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Medical image analysis Apr 22, 2019
Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical images is therefore an essential activity and for large population studies such as the UK Biobank (UKBB), manual id...
Magnetic Resonance Imaging, Cine Motion Artifacts Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Heart Neural Networks, Computer Machine Learning Algorithms
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Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis.

Medical image analysis Apr 18, 2019
The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in diagnosis and therapy planning. However, accurate estimation of the displacement of myocardial ...
Animals Echocardiography Imaging, Three-Dimensional Image Processing, Computer-Assisted Dogs Motion Neural Networks, Computer Algorithms Ventricular Dysfunction, Left
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Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.

Medical image analysis Apr 18, 2019
Accurate and robust segmentation of abdominal organs on CT is essential for many clinical applications such as computer-aided diagnosis and computer-aided surgery. But this task is challenging due to the weak boundaries of organs, the complexity of t...
Imaging, Three-Dimensional Abdomen Models, Statistical Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans
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Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate.

Medical image analysis Apr 6, 2019
Early detection and localization of prostate tumors pose a challenge to the medical community. Several imaging techniques, including PET, have shown some success. But no robust and accurate solution has yet been reached. This work aims to detect pros...
Anatomic Landmarks Positron Emission Tomography Computed Tomography Prostatic Neoplasms Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Radiopharmaceuticals Middle Aged Imaging, Three-Dimensional Unsupervised Machine Learning Aged Male Humans Algorithms
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DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.

Medical image analysis Mar 30, 2019
The purpose of this research was to implement a deep learning network to overcome two of the major bottlenecks in improved image reconstruction for clinical positron emission tomography (PET). These are the lack of an automated means for the optimiza...
Image Enhancement Deep Learning Image Processing, Computer-Assisted Positron-Emission Tomography Humans Neural Networks, Computer
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