8 Result(s)
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Chapter and Conference Paper
Practical Implications of Dequantization on Machine Learning Algorithms: A Survey
Despite the promise for performance and accuracy improvements of quantum inspired (QI) algorithms over classical machine learning (ML) algorithms, such gains have not been realized in practice. The quantum ins...
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Chapter and Conference Paper
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks
Total knee arthroplasty (TKA) is one of the most successful surgical procedures worldwide. It improves quality of life, mobility, and functionality for the vast majority of patients. However, a TKA surgery may...
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Chapter
Vertebral Column Localization, Labeling, and Segmentation
The vertebral column consists of interconnected bone structures that extend from the neck down to the pelvis. In addition to its crucial functionality in spinal cord protection, it provides the necessary flexi...
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Article
Automated segmentation of stromal tissue in histology images using a voting Bayesian model
Over the past two decades, digital histology has been clinically approved for the various cancer diagnosis and prognosis tasks including proliferation rate estimation (PRE). Histology images contain two types ...
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Chapter and Conference Paper
Lumbar Disc Localization and Labeling with a Probabilistic Model on Both Pixel and Object Features
Repeatable, quantitative assessment of intervertebral disc pathology requires accurate localization and labeling of the lumbar region discs. To that end, we propose a two-level probabilistic model for such dis...
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Article
MPI-HMMER-Boost: Distributed FPGA Acceleration
HMMER, based on the profile Hidden Markov Model (HMM) is one of the most widely used sequence database searching tools, allowing researchers to compare HMMs to sequence databases or sequences to HMM databases....
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Chapter and Conference Paper
Parallel manipulations of octrees and quadtrees
Octrees offer a powerful means for representing and manipulating 3-D objects. This paper presents an implementation of octree manipulations using a new approach on a shared memory architecture. Octrees are hie...
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Chapter
Parallelism in Computer Vision: a Review
Computer vision tasks require an enormous amount of computation, especially when the data is in image form, demanding high-performance computers for practical, real-time applications. Parallelism appears to be...
