Results 51 to 60 of about 1,996,919 (352)

Speech Processing in Computer Vision Applications [PDF]

open access: yes, 2020
Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
core   +2 more sources

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision [PDF]

open access: yes, 2016
Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features.
Babu, R. Venkatesh   +5 more
core   +2 more sources

A review of artificial intelligence in brachytherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen   +4 more
wiley   +1 more source

Greedy refinement of object proposals via boundary‐aligned minimum bounding box search

open access: yesIET Computer Vision, 2018
Recently developed object detectors rely on automatically generated object proposals, instead of using a dense sliding window search scheme; generating good object proposals has therefore become crucial for improving the computational cost and accuracy ...
Han‐Mu Park   +2 more
doaj   +1 more source

Scaling Up Computer Vision Neural Networks Using Fast Fourier Transform [PDF]

open access: yesarXiv, 2023
Deep Learning-based Computer Vision field has recently been trying to explore larger kernels for convolution to effectively scale up Convolutional Neural Networks. Simultaneously, new paradigm of models such as Vision Transformers find it difficult to scale up to larger higher resolution images due to their quadratic complexity in terms of input ...
arxiv  

In vivo transit dosimetry methodology for whole breast intensity modulated radiation therapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background In vivo transit dosimetry using an electronic portal imaging device (EPID‐IVTD) is an important tool for verifying the accuracy of radiation therapy treatments. Despite its potential, the implementation of EPID‐IVTD in breast intensity modulated radiation therapy (IMRT) treatments has not yet been standardized, limiting its clinical
Lucia Zirone   +8 more
wiley   +1 more source

Wood Defect Classification Based on Two-Dimensional Histogram Constituted by LBP and Local Binary Differential Excitation Pattern

open access: yesIEEE Access, 2019
A classification algorithm based on LBP and local binary differential excitation pattern is presented for the classification of the crack and the linear mineral line on the surface of the birch veneer.
Shaoli Li, Dejian Li, Weiqi Yuan
doaj   +1 more source

RECONSTRUCTING WHITE WALLS: MULTI-VIEW, MULTI-SHOT 3D RECONSTRUCTION OF TEXTURELESS SURFACES [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The reconstruction of the 3D geometry of a scene based on image sequences has been a very active field of research for decades. Nevertheless, there are still existing challenges in particular for homogeneous parts of objects.
A. Ley, R. Hänsch, O. Hellwich
doaj   +1 more source

A biologically inspired computational vision front-end based on a self-organised pseudo-randomly tessellated artificial retina [PDF]

open access: yes, 2005
This paper considers the construction of a biologically inspired front-end for computer vision based on an artificial retina pyramid with a self-organised pseudo-randomly tessellated receptive field tessellation.
Balasuriya, S., Siebert, J.P.
core   +1 more source

Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation

open access: yesFrontiers in Neuroscience, 2021
Segmentation of brain images from Magnetic Resonance Images (MRI) is an indispensable step in clinical practice. Morphological changes of sub-cortical brain structures and quantification of brain lesions are considered biomarkers of neurological and ...
Kaisar Kushibar   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy