AIMC Journal:
Medical image analysis

Showing 511 to 520 of 697 articles

Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.

Medical image analysis Sep 17, 2019
We propose a new method for breast cancer screening from DCE-MRI based on a post-hoc approach that is trained using weakly annotated data (i.e., labels are available only at the image level without any lesion delineation). Our proposed post-hoc metho...
Mass Screening Magnetic Resonance Imaging Early Detection of Cancer Supervised Machine Learning Breast Neoplasms Terminology as Topic Diagnosis, Computer-Assisted Humans Female
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Combined tract segmentation and orientation mapping for bundle-specific tractography.

Medical image analysis Sep 12, 2019
While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to reproduce...
Phantoms, Imaging Diffusion Tensor Imaging Image Processing, Computer-Assisted Humans Brain Mapping Machine Learning Datasets as Topic White Matter Neural Pathways
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Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.

Medical image analysis Sep 11, 2019
Convolutional neural networks (CNNs) have recently led to significant advances in automatic segmentations of anatomical structures in medical images, and a wide variety of network architectures are now available to the research community. For applica...
Ultrasonography Magnetic Resonance Imaging Prostatic Neoplasms Neural Networks, Computer Male Tumor Burden Pattern Recognition, Automated Humans
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PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.

Medical image analysis Sep 10, 2019
Accurate direct estimation of the left ventricle (LV) multitype indices from two-dimensional (2D) echocardiograms of paired apical views, i.e., paired apical four-chamber (A4C) and two-chamber (A2C), is of great significance to clinically evaluate ca...
Image Enhancement Echocardiography Humans Heart Ventricles Neural Networks, Computer
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Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.

Medical image analysis Sep 7, 2019
Deep learning networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets, particularly on metrics focused on large pathologies. For diseases such as Multiple Sclerosis (MS), however,...
Magnetic Resonance Imaging Humans Bayes Theorem Deep Learning Uncertainty Multiple Sclerosis Image Interpretation, Computer-Assisted
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Deep vessel segmentation by learning graphical connectivity.

Medical image analysis Sep 6, 2019
We propose a novel deep learning based system for vessel segmentation. Existing methods using CNNs have mostly relied on local appearances learned on the regular image grid, without consideration of the graphical structure of vessel shape. Effective ...
Image Processing, Computer-Assisted Coronary Vessels Retinal Vessels Angiography Humans Neural Networks, Computer
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Multi-task learning for quality assessment of fetal head ultrasound images.

Medical image analysis Sep 6, 2019
It is essential to measure anatomical parameters in prenatal ultrasound images for the growth and development of the fetus, which is highly relied on obtaining a standard plane. However, the acquisition of a standard plane is, in turn, highly subject...
Image Interpretation, Computer-Assisted Head Female Ultrasonography, Prenatal Neural Networks, Computer Pregnancy Humans
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Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.

Medical image analysis Sep 5, 2019
Accurate diagnosis of thyroid nodules using ultrasonography is a valuable but tough task even for experienced radiologists, considering both benign and malignant nodules have heterogeneous appearances. Computer-aided diagnosis (CAD) methods could pot...
Humans Thyroid Nodule Diagnosis, Differential Pattern Recognition, Automated Neural Networks, Computer Ultrasonography
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Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs.

Medical image analysis Sep 4, 2019
Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat severe-to-profound hearing loss. These devices are programmed post implantation and precise knowledge of the implant position with respect to the intra ...
Humans Neural Networks, Computer Algorithms Radiographic Image Enhancement Cochlea Tomography, X-Ray Computed Metals Imaging, Three-Dimensional Artifacts Cochlear Implants
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How many models/atlases are needed as priors for capturing anatomic population variations?

Medical image analysis Sep 3, 2019
Many medical image processing and analysis operations can benefit a great deal from prior information encoded in the form of models/atlases to capture variations over a population in form, shape, anatomic layout, and image appearance of objects. Howe...
Thorax Atlases as Topic Anatomic Variation Datasets as Topic Head Image Processing, Computer-Assisted Neck Humans Tomography, X-Ray Computed Deep Learning
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