AIMC Topic: Algorithms

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Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke.

The Tohoku journal of experimental medicine
Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict the activities of daily living. Recently, robotic devices have been used to enhance the functional upper extremity movement of stroke patients. The pu...

SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.

Medical physics
PURPOSE: Accurate tumor delineation in positron emission tomography (PET) images is crucial in oncology. Although recent methods achieved good results, there is still room for improvement regarding tumors with complex shapes, low signal-to-noise rati...

HFirst: A Temporal Approach to Object Recognition.

IEEE transactions on pattern analysis and machine intelligence
This paper introduces a spiking hierarchical model for object recognition which utilizes the precise timing information inherently present in the output of biologically inspired asynchronous address event representation (AER) vision sensors. The asyn...

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.

IEEE transactions on pattern analysis and machine intelligence
Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar instances for manual a...

Multi-Camera Saliency.

IEEE transactions on pattern analysis and machine intelligence
A significant body of literature on saliency modeling predicts where humans look in a single image or video. Besides the scientific goal of understanding how information is fused from multiple visual sources to identify regions of interest in a holis...

An Efficient Approach for Automated Mass Segmentation and Classification in Mammograms.

Journal of digital imaging
Breast cancer is becoming a leading death of women all over the world; clinical experiments demonstrate that early detection and accurate diagnosis can increase the potential of treatment. In order to improve the breast cancer diagnosis precision, th...

An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images.

Journal of digital imaging
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is required owing to the high incidence of breast cancer. Although various computer-aided diagnosis (CAD) systems have been developed to interpret ultras...

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.

IEEE transactions on pattern analysis and machine intelligence
Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224 × 224) input image. This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrary size/scale. In this work, we ...

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.

IEEE journal of biomedical and health informatics
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for normal aging and disease progression. In this paper, we propose a patch-based tissue classification method from MR images that...