AIMC Topic: Pattern Recognition, Automated
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Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.
Studies in health technology and informatics
Jan 1, 2015
Medical information extraction is the automatic extraction of structured information from electronic medical records, where such information can be used for improving healthcare processes and medical decision making. In this paper, we study one impor...
Meta-learning framework applied in bioinformatics inference system design.
International journal of data mining and bioinformatics
Jan 1, 2015
This paper describes a meta-learner inference system development framework which is applied and tested in the implementation of bioinformatic inference systems. These inference systems are used for the systematic classification of the best candidates...
Sampling from Determinantal Point Processes for Scalable Manifold Learning.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
High computational costs of manifold learning prohibit its application for large datasets. A common strategy to overcome this problem is to perform dimensionality reduction on selected landmarks and to successively embed the entire dataset with the N...
Pattern Recognition, Automated
Radiographic Image Enhancement
Models, Statistical
Sample Size
Data Interpretation, Statistical
Humans
Artificial Intelligence
Reproducibility of Results
Signal Processing, Computer-Assisted
Sensitivity and Specificity
Algorithms
Radiographic Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Computer Simulation
Head and Neck Neoplasms
Tomography, X-Ray Computed
Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
This paper presents a dictionary learning-based method to segment the brain surface in post-surgical CT images of epilepsy patients following surgical implantation of electrodes. Using the electrodes identified in the post-implantation CT, surgeons r...
Multi-scale Convolutional Neural Networks for Lung Nodule Classification.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomography (CT) screening. Unlike traditional studies primarily relying on nodule segmentation for regional analysis, we tackle a more challenging problem on ...
Humans
Pattern Recognition, Automated
Radiography, Thoracic
Neural Networks, Computer
Radiographic Image Enhancement
Sensitivity and Specificity
Algorithms
Lung Neoplasms
Tomography, X-Ray Computed
Solitary Pulmonary Nodule
Reproducibility of Results
Radiographic Image Interpretation, Computer-Assisted
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
Understanding the early dynamics of the highly folded human cerebral cortex is still an actively evolving research field teeming with unanswered questions. Longitudinal neuroimaging analysis and modeling have become the new trend to advance research ...
Finding a Path for Segmentation Through Sequential Learning.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
Sequential learning techniques, such as auto-context, that applies the output of an intermediate classifier as contextual features for its subsequent classifier has shown impressive performance for semantic segmentation. We show that these methods ca...
Bodypart Recognition Using Multi-stage Deep Learning.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
Automatic medical image analysis systems often start from identifying the human body part contained in the image; Specifically, given a transversal slice, it is important to know which body part it comes from, namely "slice-based bodypart recognition...
Tomography, X-Ray Computed
Female
Reproducibility of Results
Aged
Humans
Artificial Intelligence
Algorithms
Male
Middle Aged
Infant
Adolescent
Child, Preschool
Aged, 80 and over
Young Adult
Adult
Sensitivity and Specificity
Image Enhancement
Child
Whole Body Imaging
Imaging, Three-Dimensional
Image Interpretation, Computer-Assisted
Pattern Recognition, Automated
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
Learning representative computational models from medical imaging data requires large training data sets. Often, voxel-level annotation is unfeasible for sufficient amounts of data. An alternative to manual annotation, is to use the enormous amount o...
Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.
Information processing in medical imaging : proceedings of the ... conference
Jan 1, 2015
Brain morphometry study plays a fundamental role in medical imaging analysis and diagnosis. This work proposes a novel framework for brain cortical surface classification using Wasserstein distance, based on uniformization theory and Riemannian optim...
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