AIMC Topic:
Image Interpretation, Computer-Assisted

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Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

IEEE transactions on medical imaging Feb 3, 2016
In general image recognition problems, discriminative information often lies in local image patches. For example, most human identity information exists in the image patches containing human faces. The same situation stays in medical images as well. ...
Tomography, X-Ray Computed Aged Aged, 80 and over Young Adult Adult Humans Neural Networks, Computer Child Image Interpretation, Computer-Assisted Face Extremities Torso Middle Aged Infant Adolescent Child, Preschool
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Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks.

NeuroImage Jan 28, 2016
Identifying diffuse axonal injury (DAI) in patients with traumatic brain injury (TBI) presenting with normal appearing radiological MRI presents a significant challenge. Neuroimaging methods such as diffusion MRI and probabilistic tractography, which...
Female Adult Male Middle Aged White Matter Connectome Neural Pathways Brain Injuries, Traumatic Image Interpretation, Computer-Assisted Humans Machine Learning Diffusion Tensor Imaging Diffuse Axonal Injury
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Body-Based Gender Recognition Using Images from Visible and Thermal Cameras.

Sensors (Basel, Switzerland) Jan 27, 2016
Gender information has many useful applications in computer vision systems, such as surveillance systems, counting the number of males and females in a shopping mall, accessing control systems in restricted areas, or any human-computer interaction sy...
Humans Artificial Intelligence Biometry Algorithms Gender Identity Female Male Image Interpretation, Computer-Assisted Face Pattern Recognition, Automated
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Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods.

Ultrasound in medicine & biology Jan 21, 2016
This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs catego...
United States Support Vector Machine Ultrasonography, Mammary Models, Biological Practice Guidelines as Topic Pattern Recognition, Automated Image Interpretation, Computer-Assisted Humans Female Observer Variation Machine Learning Reproducibility of Results Sensitivity and Specificity Breast Neoplasms
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Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.

IEEE transactions on medical imaging Jan 18, 2016
Segmenting male pelvic organs from CT images is a prerequisite for prostate cancer radiotherapy. The efficacy of radiation treatment highly depends on segmentation accuracy. However, accurate segmentation of male pelvic organs is challenging due to l...
Rectum Image Interpretation, Computer-Assisted Urinary Bladder Decision Trees Prostatic Neoplasms Prostate Pelvis Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Male Humans
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State-space model with deep learning for functional dynamics estimation in resting-state fMRI.

NeuroImage Jan 14, 2016
Studies on resting-state functional Magnetic Resonance Imaging (rs-fMRI) have shown that different brain regions still actively interact with each other while a subject is at rest, and such functional interaction is not stationary but changes over ti...
Rest Nerve Net Cognitive Dysfunction Magnetic Resonance Imaging Models, Neurological Image Interpretation, Computer-Assisted Humans Female Aged Male Machine Learning Brain
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Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI.

Journal of neuro-oncology Jan 11, 2016
Differentiation between treatment-related changes and progressive disease (PD) remains a major clinical challenge in the follow-up of patients with high grade brain tumors. The aim of this study was to differentiate between treatment-related changes ...
Humans Prognosis Survival Rate Brain Neoplasms Male Middle Aged Disease Progression Female Aged Young Adult Adult Image Interpretation, Computer-Assisted Tissue Distribution Glioblastoma Neoplasm Grading Combined Modality Therapy Tumor Burden Support Vector Machine Longitudinal Studies Contrast Media Magnetic Resonance Imaging
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Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.

IEEE transactions on medical imaging Jan 5, 2016
As shown in the literature, methods based on multiple templates usually achieve better performance, compared with those using only a single template for processing medical images. However, most existing multi-template based methods simply average or ...
Image Interpretation, Computer-Assisted Neuroimaging Humans Machine Learning Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Brain Cognitive Dysfunction
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Ultrasound Image Discrimination between Benign and Malignant Adnexal Masses Based on a Neural Network Approach.

Ultrasound in medicine & biology Dec 20, 2015
The discrimination between benign and malignant adnexal masses in ultrasound images represents one of the most challenging problems in gynecologic practice. In the study described here, a new method for automatic discrimination of adnexal masses base...
Humans Sensitivity and Specificity Middle Aged Neural Networks, Computer Ultrasonography Adnexal Diseases Algorithms Diagnosis, Differential Female Ovarian Neoplasms Reproducibility of Results Image Interpretation, Computer-Assisted Adult Pattern Recognition, Automated Image Enhancement
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Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.

PloS one Nov 16, 2015
Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial v...
Models, Statistical Sample Size Least-Squares Analysis Lighting Algorithms Humans Databases, Factual Artificial Intelligence Female Machine Learning Male Software Facial Recognition Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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