AIMC Journal:
Medical image analysis

Showing 431 to 440 of 684 articles

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty.

Medical image analysis Oct 7, 2020
The clinical interest is often to measure the volume of a structure, which is typically derived from a segmentation. In order to evaluate and compare segmentation methods, the similarity between a segmentation and a predefined ground truth is measure...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Uncertainty
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Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss.

Medical image analysis Oct 7, 2020
Instrument segmentation plays a vital role in 3D ultrasound (US) guided cardiac intervention. Efficient and accurate segmentation during the operation is highly desired since it can facilitate the operation, reduce the operational complexity, and the...
Neural Networks, Computer Humans Ultrasonography Imaging, Three-Dimensional
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Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images.

Medical image analysis Sep 30, 2020
The aim of deformable brain image registration is to align anatomical structures, which can potentially vary with large and complex deformations. Anatomical structures vary in size and shape, requiring the registration algorithm to estimate deformati...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain
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Deep neural network models for computational histopathology: A survey.

Medical image analysis Sep 25, 2020
Histopathological images contain rich phenotypic information that can be used to monitor underlying mechanisms contributing to disease progression and patient survival outcomes. Recently, deep learning has become the mainstream methodological choice ...
Humans Histological Techniques Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning
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Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning.

Medical image analysis Sep 5, 2020
The triage of acute stroke patients is increasingly dependent on four-dimensional CTA (4D-CTA) imaging. In this work, we present a convolutional neural network (CNN) for image-level detection of intracranial anterior circulation artery occlusions in ...
Stroke Humans Sensitivity and Specificity Neural Networks, Computer Deep Learning
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PadChest: A large chest x-ray image dataset with multi-label annotated reports.

Medical image analysis Aug 20, 2020
We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes more than 160,000 images obtained from 67,000 patients that were interpre...
Thorax X-Rays Humans Neural Networks, Computer Databases, Factual Radiography
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Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare.

Medical image analysis Aug 19, 2020
In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in de...
Betacoronavirus Pneumonia, Viral Diagnostic Imaging Coronavirus Infections Artificial Intelligence Pandemics Algorithms Humans SARS-CoV-2 COVID-19
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Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.

Medical image analysis Jul 23, 2020
With the tremendous development of artificial intelligence, many machine learning algorithms have been applied to the diagnosis of human cancers. Recently, rather than predicting categorical variables (e.g., stages and subtypes) as in cancer diagnosi...
Artificial Intelligence Algorithms Humans Prognosis Image Interpretation, Computer-Assisted Neoplasms
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Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.

Medical image analysis Jul 21, 2020
The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the crucial step in fighting COVID-19 is the ability to detect the infected p...
COVID-19 SARS-CoV-2 Neural Networks, Computer Betacoronavirus Pandemics Pneumonia, Viral Datasets as Topic Diagnosis, Differential Sensitivity and Specificity Humans Predictive Value of Tests Radiography, Thoracic Deep Learning Data Interpretation, Statistical Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections
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Integrating uncertainty in deep neural networks for MRI based stroke analysis.

Medical image analysis Jul 19, 2020
At present, the majority of the proposed Deep Learning (DL) methods provide point predictions without quantifying the model's uncertainty. However, a quantification of the reliability of automated image analysis is essential, in particular in medicin...
Bayes Theorem Stroke Uncertainty Reproducibility of Results Magnetic Resonance Imaging Humans Neural Networks, Computer
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