AIMC Topic:
Image Interpretation, Computer-Assisted
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Machine learning based compartment models with permeability for white matter microstructure imaging.
NeuroImage
Feb 8, 2017
Some microstructure parameters, such as permeability, remain elusive because mathematical models that express their relationship to the MR signal accurately are intractable. Here, we propose to use computational models learned from simulations to est...
Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis.
Computers in biology and medicine
Jan 27, 2017
BACKGROUND: When left untreated, age-related macular degeneration (AMD) is the leading cause of vision loss in people over fifty in the US. Currently it is estimated that about eight million US individuals have the intermediate stage of AMD that is o...
Implementing Machine Learning in Radiology Practice and Research.
AJR. American journal of roentgenology
Jan 26, 2017
OBJECTIVE: The purposes of this article are to describe concepts that radiologists should understand to evaluate machine learning projects, including common algorithms, supervised as opposed to unsupervised techniques, statistical pitfalls, and data ...
Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications.
IEEE transactions on pattern analysis and machine intelligence
Jan 23, 2017
The capabilities of (I) learning transferable knowledge across domains; and (II) fine-tuning the pre-learned base knowledge towards tasks with considerably smaller data scale are extremely important. Many of the existing transfer learning techniques ...
Gap-free segmentation of vascular networks with automatic image processing pipeline.
Computers in biology and medicine
Jan 21, 2017
Current image processing techniques capture large vessels reliably but often fail to preserve connectivity in bifurcations and small vessels. Imaging artifacts and noise can create gaps and discontinuity of intensity that hinders segmentation of vasc...
Automatic detection and measurement of nuchal translucency.
Computers in biology and medicine
Jan 20, 2017
In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main...
Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.
IEEE transactions on cybernetics
Jan 16, 2017
Accurate identification and understanding informative feature is important for early Alzheimer's disease (AD) prognosis and diagnosis. In this paper, we propose a novel discriminative sparse learning method with relational regularization to jointly p...
Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.
Journal of magnetic resonance imaging : JMRI
Dec 19, 2016
PURPOSE: To evaluate in a multi-institutional study whether radiomic features useful for prostate cancer (PCa) detection from 3 Tesla (T) multi-parametric MRI (mpMRI) in the transition zone (TZ) differ from those in the peripheral zone (PZ).
Pattern Recognition, Automated
Image Enhancement
Humans
Finland
Machine Learning
New York City
Reproducibility of Results
Aged
Image Interpretation, Computer-Assisted
Pilot Projects
Adult
Observer Variation
Magnetic Resonance Imaging
Sensitivity and Specificity
Internationality
Australia
Male
Prostatic Neoplasms
Middle Aged
A "Tuned" Mask Learnt Approach Based on Gravitational Search Algorithm.
Computational intelligence and neuroscience
Dec 19, 2016
Texture image classification is an important topic in many applications in machine vision and image analysis. Texture feature extracted from the original texture image by using "Tuned" mask is one of the simplest and most effective methods. However, ...
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach.
IEEE transactions on haptics
Dec 15, 2016
Robotic-assisted minimally invasive surgeries have gained a lot of popularity over conventional procedures as they offer many benefits to both surgeons and patients. Nonetheless, they still suffer from some limitations that affect their outcome. One ...
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