AIMC Journal:
Medical image analysis

Showing 481 to 490 of 686 articles

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis.

Medical image analysis Dec 2, 2019
Although convolutional neural networks have achieved tremendous success on histopathology image classification, they usually require large-scale clean annotated data and are sensitive to noisy labels. Unfortunately, labeling large-scale images is lab...
Humans Neural Networks, Computer Male Machine Learning Image Processing, Computer-Assisted Female Lung Neoplasms Breast Neoplasms Datasets as Topic
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A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory.

Medical image analysis Nov 26, 2019
In this study, a deep neural network (DNN) is proposed to reduce the noise in task-based fMRI data without explicitly modeling noise. The DNN artificial neural network consists of one temporal convolutional layer, one long short-term memory (LSTM) la...
Magnetic Resonance Imaging Brain Mapping Image Enhancement Neural Networks, Computer Task Performance and Analysis Aged Memory, Episodic Humans Image Processing, Computer-Assisted
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Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization.

Medical image analysis Nov 23, 2019
Cone-beam computed tomography (CBCT) scans are commonly used in diagnosing and planning surgical or orthodontic treatment to correct craniomaxillofacial (CMF) deformities. Based on CBCT images, it is clinically essential to generate an accurate 3D mo...
Maxillofacial Abnormalities Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Anatomic Landmarks Neural Networks, Computer Cone-Beam Computed Tomography
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Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening.

Medical image analysis Nov 21, 2019
In this study, we propose a novel anomaly detection model targeting subtle brain lesions in multiparametric MRI. To compensate for the lack of annotated data adequately sampling the heterogeneity of such pathologies, we cast this problem as an outlie...
Datasets as Topic Middle Aged Adolescent Magnetic Resonance Imaging Unsupervised Machine Learning Aged Humans Epilepsy Adult Neural Networks, Computer Image Interpretation, Computer-Assisted Male Female
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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...
Monte Carlo Method Uncertainty Colonic Polyps Image Interpretation, Computer-Assisted Semantics Decision Support Techniques Colonoscopy Deep Learning Humans Neural Networks, Computer
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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...
Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Cicatrix Atrial Fibrillation Catheter Ablation Heart Atria Humans Pulmonary Veins Neural Networks, Computer
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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...
Brain Deep Learning Imaging, Three-Dimensional Retinal Vessels Image Processing, Computer-Assisted Humans Datasets as Topic Neural Networks, Computer 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...
Pattern Recognition, Automated Humans Ultrasonography Female Male Kidney Diseases Neural Networks, Computer Aged, 80 and over Deep Learning Datasets as Topic
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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...
Neural Networks, Computer Tomography, X-Ray Computed Animals Swine Humans Sheep, Domestic Dogs Datasets as Topic Pattern Recognition, Automated Deep Learning Disease Models, Animal Respiratory Distress Syndrome
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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...
Hand Strength Discriminant Analysis Heart Rate Male Cardiovascular Diseases Case-Control Studies Echocardiography, Stress Adenine Nucleotide Translocator 1 Humans Machine Learning Female Young Adult
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