AIMC Topic: Image Interpretation, Computer-Assisted
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Classification of focal liver lesions on ultrasound images by extracting hybrid textural features and using an artificial neural network.
Bio-medical materials and engineering
Jan 1, 2015
This paper focuses on the improvement of the diagnostic accuracy of focal liver lesions by quantifying the key features of cysts, hemangiomas, and malignant lesions on ultrasound images. The focal liver lesions were divided into 29 cysts, 37 hemangio...
Automatic segmentation in image stacks based on multi-constraint level-set evolution.
Bio-medical materials and engineering
Jan 1, 2015
Contour extraction of image stacks is a basic task in medical modeling. The existing level-set methods usually suffer from some problems (e.g. serious errors around sharp features, incorrect split of topology and contour occlusions). This paper propo...
Image manifold revealing for breast lesion segmentation in DCE-MRI.
Bio-medical materials and engineering
Jan 1, 2015
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used for breast lesion differentiation. Manual segmentation in DCE-MRI is difficult and open to viewer interpretation. In this paper, an automatic segmentation method based on i...
Automatic brain MR image denoising based on texture feature-based artificial neural networks.
Bio-medical materials and engineering
Jan 1, 2015
Noise is one of the main sources of quality deterioration not only for visual inspection but also in computerized processing in brain magnetic resonance (MR) image analysis such as tissue classification, segmentation and registration. Accordingly, no...
Proposal of Local Automatic Weighing Attribute in CBIR.
Studies in health technology and informatics
Jan 1, 2015
Lung cancer is the most common malignant lesion and the principal cause of cancer-related death worldwide. This problem encourages researchers to build computer-aided solutions to help diagnose lung cancer. Content-based image retrieval (CBIR) system...
Thermal Signal Analysis for Breast Cancer Risk Verification.
Studies in health technology and informatics
Jan 1, 2015
Breast cancer is the second most common cancer in the world. Currently, there are no effective methods to prevent this disease. However, early diagnosis increases chances of remission. Breast thermography is an option to be considered in screening st...
A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.
Studies in health technology and informatics
Jan 1, 2015
Advanced techniques in machine learning combined with scalable "cloud" computing infrastructure are driving the creation of new and innovative health diagnostic applications. We describe a service and application for performing image training and rec...
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...
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...
Adult
Sensitivity and Specificity
Male
Middle Aged
Reproducibility of Results
Aged
Aged, 80 and over
Young Adult
Imaging, Three-Dimensional
Image Interpretation, Computer-Assisted
Pattern Recognition, Automated
Image Enhancement
Whole Body Imaging
Infant
Artificial Intelligence
Humans
Adolescent
Algorithms
Child, Preschool
Tomography, X-Ray Computed
Child
Female
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