AIMC Journal:
Medical image analysis

Showing 651 to 660 of 699 articles

Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation.

Medical image analysis Oct 29, 2016
As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative impact on the quality of life due to its symptoms including pain, disability, fall risk and depression. Accurate boundary delineation is essential to t...
Spinal Canal Algorithms Magnetic Resonance Imaging Unsupervised Machine Learning Spinal Stenosis Humans
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A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction.

Medical image analysis Oct 11, 2016
We present a framework for combining a cardiac motion atlas with non-motion data. The atlas represents cardiac cycle motion across a number of subjects in a common space based on rich motion descriptors capturing 3D displacement, velocity, strain and...
Machine Learning Biomarkers Humans Cardiac Resynchronization Therapy Electrocardiography Motion Heart Failure
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When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.

Medical image analysis Sep 9, 2016
Classification of histology sections in large cohorts, in terms of distinct regions of microanatomy (e.g., stromal) and histopathology (e.g., tumor, necrosis), enables the quantification of tumor composition, and the construction of predictive models...
Humans Unsupervised Machine Learning Histological Techniques Color Pattern Recognition, Automated
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Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain.

Medical image analysis Aug 16, 2016
Suppression of bony structures in chest radiographs (CXRs) is potentially useful for radiologists and computer-aided diagnostic schemes. In this paper, we present an effective deep learning method for bone suppression in single conventional CXR using...
Radiography, Thoracic Bone and Bones Algorithms Diagnosis, Computer-Assisted Neural Networks, Computer
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Large scale deep learning for computer aided detection of mammographic lesions.

Medical image analysis Aug 2, 2016
Recent advances in machine learning yielded new techniques to train deep neural networks, which resulted in highly successful applications in many pattern recognition tasks such as object detection and speech recognition. In this paper we provide a h...
Breast Neoplasms Mammography Machine Learning Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Breast Humans Neural Networks, Computer
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Image analysis and machine learning in digital pathology: Challenges and opportunities.

Medical image analysis Jul 4, 2016
With the rise in whole slide scanner technology, large numbers of tissue slides are being scanned and represented and archived digitally. While digital pathology has substantial implications for telepathology, second opinions, and education there are...
Image Processing, Computer-Assisted Machine Learning Humans Radiology Pathology Precision Medicine Telepathology
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Machine learning approaches in medical image analysis: From detection to diagnosis.

Medical image analysis Jun 23, 2016
Machine learning approaches are increasingly successful in image-based diagnosis, disease prognosis, and risk assessment. This paper highlights new research directions and discusses three main challenges related to machine learning in medical imaging...
Machine Learning Algorithms Diagnosis, Computer-Assisted Diagnostic Imaging Humans
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Machine learning for medical images analysis.

Medical image analysis Jun 22, 2016
This article discusses the application of machine learning for the analysis of medical images. Specifically: (i) We show how a special type of learning models can be thought of as automatically optimized, hierarchically-structured, rule-based algorit...
Diagnostic Imaging Datasets as Topic Decision Trees Humans Machine Learning
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Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning.

Medical image analysis Jun 16, 2016
The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain p...
Neuroanatomy Brain Machine Learning Humans Support Vector Machine Algorithms Magnetic Resonance Imaging Multivariate Analysis
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Learning clinically useful information from images: Past, present and future.

Medical image analysis Jun 15, 2016
Over the last decade, research in medical imaging has made significant progress in addressing challenging tasks such as image registration and image segmentation. In particular, the use of model-based approaches has been key in numerous, successful a...
Humans Machine Learning Diagnostic Imaging History, 21st Century History, 20th Century
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