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Chapter and Conference Paper
Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images
With the advance of whole-body medical imaging technologies, computer aided detection/diagnosis (CAD) is being scaled up to deal with multiple organs or anatomical structures simultaneously. Multiple tasks (or...
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Chapter and Conference Paper
MR-Based Real Time Path Planning for Cardiac Operations with Transapical Access
Minimally invasive surgeries (MIS) have been perpetually evolving due to their potential high impact on improving patient management and overall cost effectiveness. Currently, MIS are further strengthened by t...
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Chapter and Conference Paper
Distance Metric Learning-Based Conformal Predictor
In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...
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Chapter and Conference Paper
Classifying Stem Cell Differentiation Images by Information Distance
The ability of stem cells holds great potential for drug discovery and cell replacement therapy. To realize this potential, effective high content screening for drug candidates is required. Analysis of images ...
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Chapter and Conference Paper
Local Clustering Conformal Predictor for Imbalanced Data Classification
The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...
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Chapter and Conference Paper
Object Color Constancy for Outdoor Multiple Light Sources
Color is one of the mostly applied features for object recognition and tracking. Most work for color constancy is often based on the assumption of spatial uniformity or smooth illuminant transaction, which is ...
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Chapter and Conference Paper
Dimensionality Reduction for Hyperspectral Image Based on Manifold Learning
A novel dimensionality reduction method named spectral angle and geodesic distance-based locality preserving projection (SAGD-LPP) was proposed in this paper. Considering the physical characters of hyperspectr...
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Chapter and Conference Paper
Mobile Panoramic Vision for Assisting the Blind via Indexing and Localization
In this paper, we propose a first-person localization and navigation system for hel** blind and visually-impaired people navigate in indoor environments. The system consists of a mobile vision front end with...
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Chapter and Conference Paper
Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor
To help visually impaired people recognize people in their daily life, a 3D face feature registration approach is proposed with a RGB-D sensor. Compared to 2D face recognition methods, 3D data based approaches...
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Chapter and Conference Paper
Event Detection with Convolutional Neural Networks for Forensic Investigation
Traditional approaches rely on domain expertise to acquire complicated features. Meanwhile, existing Natural Language Processing (NLP) tools and techniques are not competent to extract information from digital...