AIMC Journal:
Medical image analysis

Showing 491 to 500 of 692 articles

Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.

Medical image analysis Nov 20, 2019
Colorectal polyps are known to be potential precursors to colorectal cancer, which is one of the leading causes of cancer-related deaths on a global scale. Early detection and prevention of colorectal cancer is primarily enabled through manual screen...
Semantics Monte Carlo Method Uncertainty Neural Networks, Computer Decision Support Techniques Colonoscopy Deep Learning Colonic Polyps Image Interpretation, Computer-Assisted Humans
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Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

Medical image analysis Nov 16, 2019
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the quantification and analysis of atrial scars can be challenging due to...
Catheter Ablation Pulmonary Veins Cicatrix Atrial Fibrillation Heart Atria Humans Neural Networks, Computer Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging
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Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures.

Medical image analysis Nov 9, 2019
The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, we show that we can train a Deep Net to perform 3D volumetric delineati...
Humans Neural Networks, Computer Retinal Vessels Brain Image Processing, Computer-Assisted Deep Learning Datasets as Topic Imaging, Three-Dimensional Magnetic Resonance Angiography
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Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.

Medical image analysis Nov 8, 2019
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic methods have achieved promising performance. In this study, we pro...
Humans Neural Networks, Computer Female Ultrasonography Kidney Diseases Datasets as Topic Aged, 80 and over Pattern Recognition, Automated Male Deep Learning
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Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species.

Medical image analysis Nov 7, 2019
Segmentation of lungs with acute respiratory distress syndrome (ARDS) is a challenging task due to diffuse opacification in dependent regions which results in little to no contrast at the lung boundary. For segmentation of severely injured lungs, loc...
Datasets as Topic Animals Pattern Recognition, Automated Swine Sheep, Domestic Humans Deep Learning Neural Networks, Computer Disease Models, Animal Tomography, X-Ray Computed Respiratory Distress Syndrome Dogs
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Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction.

Medical image analysis Nov 6, 2019
Alternative stress echocardiography protocols such as handgrip exercise are potentially more favorable towards large-scale screening scenarios than those currently adopted in clinical practice. However, these are still underexplored because the maxim...
Humans Machine Learning Female Case-Control Studies Hand Strength Discriminant Analysis Young Adult Male Cardiovascular Diseases Heart Rate Echocardiography, Stress Adenine Nucleotide Translocator 1
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Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning.

Medical image analysis Oct 31, 2019
Multi-indices quantification of optic nerve head (ONH), measuring ONH appearance with multiple types of indices simultaneously from fundus images, is the most clinically significant tasks for accurate ONH assessment and ophthalmic disease diagnosis. ...
Optic Nerve Humans Fundus Oculi Neural Networks, Computer Diagnostic Techniques, Ophthalmological Glaucoma
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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.

Medical image analysis Oct 15, 2019
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke. Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the perfusion parameters to determine the tissue status. We pursue a data-d...
Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Cerebral Infarction Tomography, X-Ray Computed Aged Deep Learning Datasets as Topic Female Male Multicenter Studies as Topic Cerebral Angiography Middle Aged Randomized Controlled Trials as Topic
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'Squeeze & excite' guided few-shot segmentation of volumetric images.

Medical image analysis Oct 13, 2019
Deep neural networks enable highly accurate image segmentation, but require large amounts of manually annotated data for supervised training. Few-shot learning aims to address this shortcoming by learning a new class from a few annotated support exam...
Contrast Media Radiographic Image Interpretation, Computer-Assisted Viscera Whole Body Imaging Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Humans
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Multi-task recurrent convolutional network with correlation loss for surgical video analysis.

Medical image analysis Oct 10, 2019
Surgical tool presence detection and surgical phase recognition are two fundamental yet challenging tasks in surgical video analysis as well as very essential components in various applications in modern operating rooms. While these two analysis task...
Datasets as Topic Neural Networks, Computer Cholecystectomy Video Recording Humans Image Interpretation, Computer-Assisted
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