AIMC Journal:
Medical image analysis

Showing 301 to 310 of 684 articles

Dual-stream pyramid registration network.

Medical image analysis Feb 18, 2022
We propose a Dual-stream Pyramid Registration Network (referred as Dual-PRNet) for unsupervised 3D brain image registration. Unlike recent CNN-based registration approaches, such as VoxelMorph, which computes a registration field from a pair of 3D vo...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Tomography, X-Ray Computed Imaging, Three-Dimensional
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Boundary-aware context neural network for medical image segmentation.

Medical image analysis Feb 14, 2022
Medical image segmentation can provide a reliable basis for further clinical analysis and disease diagnosis. With the development of convolutional neural networks (CNNs), medical image segmentation performance has advanced significantly. However, mos...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Learning
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TATL: Task agnostic transfer learning for skin attributes detection.

Medical image analysis Feb 13, 2022
Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task. However, we argue that such approaches are suboptimal because medical datasets are largely different from I...
Learning Humans Benchmarking Neural Networks, Computer Machine Learning
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Deep learning models for triaging hospital head MRI examinations.

Medical image analysis Feb 12, 2022
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global shortage of radiologists, has led to an increase in the time taken to report head MRI scans in recent years. For many neurological conditions, this delay c...
Humans Triage Deep Learning Hospitals Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging
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Untangling and segmenting the small intestine in 3D cine-MRI using deep learning.

Medical image analysis Feb 7, 2022
Cine-MRI of the abdomen is a non-invasive imaging technique allowing assessment of small intestinal motility. This is valuable for the evaluation of gastrointestinal disorders. While 2D cine-MRI is increasingly used for this purpose in both clinical ...
Humans Deep Learning Intestine, Small Magnetic Resonance Imaging, Cine Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Novel-view X-ray projection synthesis through geometry-integrated deep learning.

Medical image analysis Jan 29, 2022
X-ray imaging is a widely used approach to view the internal structure of a subject for clinical diagnosis, image-guided interventions and decision-making. The X-ray projections acquired at different view angles provide complementary information of p...
Humans Algorithms Cone-Beam Computed Tomography Image Processing, Computer-Assisted Phantoms, Imaging Radiography Lung X-Rays Deep Learning
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Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy.

Medical image analysis Jan 29, 2022
Intracranial vessel perforation is a peri-procedural complication during endovascular therapy (EVT). Prompt recognition is important as its occurrence is strongly associated with unfavorable treatment outcomes. However, perforations can be hard to de...
Humans Deep Learning Treatment Outcome Stroke Brain Ischemia Angiography, Digital Subtraction Endovascular Procedures Thrombectomy
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Weakly supervised segmentation with cross-modality equivariant constraints.

Medical image analysis Jan 23, 2022
Weakly supervised learning has emerged as an appealing alternative to alleviate the need for large labeled datasets in semantic segmentation. Most current approaches exploit class activation maps (CAMs), which can be generated from image-level annota...
Supervised Machine Learning Semantics Prostate Humans Neural Networks, Computer Male Image Processing, Computer-Assisted
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Contour proposal networks for biomedical instance segmentation.

Medical image analysis Jan 22, 2022
We present a conceptually simple framework for object instance segmentation, called Contour Proposal Network (CPN), which detects possibly overlapping objects in an image while simultaneously fitting closed object contours using a fixed-size represen...
Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Distortion and instability compensation with deep learning for rotational scanning endoscopic optical coherence tomography.

Medical image analysis Jan 22, 2022
Optical Coherence Tomography (OCT) is increasingly used in endoluminal procedures since it provides high-speed and high resolution imaging. Distortion and instability of images obtained with a proximal scanning endoscopic OCT system are significant d...
Tomography, Optical Coherence Humans Artifacts Algorithms Neural Networks, Computer Deep Learning
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