Filters








205 Hits in 8.6 sec

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator [article]

Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
2019 arXiv   pre-print
We adapt the recent idea of Image Quality Transfer (IQT) to enhance very low-field structural images aiming to estimate the resolution, spatial coverage, and contrast of high-field images.  ...  Analogous to many learning-based image enhancement techniques, IQT generates training data from high-field scans alone by simulating low-field images through a pre-defined decimation model.  ...  SNR of the high-field image with respect to the tissue category j is defined as: SN R j Y = v M j (v)Y (v) σ Y v M j (v) . (4) Algorithm 1 Probabilistic Decimation Simulator for low-field Image Input  ... 
arXiv:1909.06763v1 fatcat:a5zi6n4335byxdaafws6n5m4by

Performance on Image Segmentation Resulting In Canny and MoG

Mr. S Ravikumar
2012 IOSR Journal of Computer Engineering  
The natural image statistics and scene semantic features are combined in the classification process. Integrated feature weight is assigned for the images to perform the learning process.  ...  Classification techniques are used to learn color consistency in images.  ...  Acknowledgements The authors thank to R.V Krishnaiah, Principal-DRK Institute of Science & Technology. Also we would like to thank K. Praveen, Head of the IT Department for their valuable support.  ... 
doi:10.9790/0661-0620108 fatcat:vq7mo32nybdm5m5a5ef7aqhbky

Deep Learning Based Pain Treatment

Tarun Jaiswal, Sushma Jaiswal
2019 International Journal of Trend in Scientific Research and Development  
Indeed, the application of machine learning for pain investigationassociated non-imaging problems has been mentioned in publications in scientific journals since 1940-2018.  ...  Among machine learning methods, a subset has so far been applied to pain research-related problems, SVMs, regression models, deep learning and several kinds of neural networks so far most often revealed  ...  learning strategy, which transfers the knowledge in the low layers of a base CNN trained from a large database of natural images to our task-specific CNN.  ... 
doi:10.31142/ijtsrd23639 fatcat:tqg4u3tkgjhmjpya67g3lnewwu

Computational Intelligence and Metaheuristic Techniques for Brain Tumor Detection through IoMT-Enabled MRI Devices

Damandeep Kaur, Surender Singh, Wathiq Mansoor, Yogesh Kumar, Sahil Verma, Sonali Dash, Apeksha Koul, Mohammad R Khosravi
2022 Wireless Communications and Mobile Computing  
The current study depicts the methodologies and procedures used to detect a tumor inside the brain utilizing machine and deep learning techniques.  ...  With 64.81% peak signal-to-noise and 98.61% accuracy, ICA with hybrid optimization and a recurrent neural network (RNN) proved to better than the other algorithms.  ...  As a rule of thumb, a high peak signal-to-noise ratio suggests good image quality, whereas a low peak signal-to-noise ratio suggests bad picture quality.  ... 
doi:10.1155/2022/1519198 fatcat:zkckb2ksorag5mdnsiycbxvlg4

CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition Munich, Germany, June 21–25, 2021

2021 International Journal of Computer Assisted Radiology and Surgery  
The University Rovira i Virgili also supports this work with project 2019PFR-B2-61. References  ...  For providing high-quality user experience, the simulation also needs to be real-time.  ...  Conclusion We presented an end-to-end deep learning CT reconstruction algorithm, which was superior to a common FBP for low-dose image reconstruction.  ... 
doi:10.1007/s11548-021-02375-4 pmid:34085172 fatcat:6d564hsv2fbybkhw4wvc7uuxcy

Welcome Messages

2019 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)  
The database would be very useful to carry out deep learning research and various image processing tasks.  ...  In addition to the user fairness, we make the spatial streams which convey visually more important information be high-quality for achieving high video quality.  ...  low quality images) and etc.  ... 
doi:10.1109/ispacs48206.2019.8986291 fatcat:gu4zaxsqkncp5n2ebj5fybk7ce

Using Hybrid Filter-Wrapper Feature Selection with Multi-Objective Improved-Salp Optimization for Crack Severity Recognition

Esraa Elhariri, Nashwa El-Bendary, Shereen A. Taie
2020 IEEE Access  
The proposed approach comprises two main components, namely, (1) feature extraction based on hand-crafted feature engineering and CNN-based deep feature learning and (2) feature selection using hybrid  ...  It is noticed that using VGG16 learned features outperforms using the fused hand-crafted features by 17.7%, 15.9%, and 23.5% for fine, moderate, and severe crack recognition, respectively.  ...  To evaluate the proposed BHHO algorithm for feature selection, 9 online public high-dimensional datasets with low samples were used.  ... 
doi:10.1109/access.2020.2991968 fatcat:mtgr7mlejfaejadozwvqdt3irq

ARtwin: Map pivot format specification

Nam Duong Duong, Jérôme Royan, Michal Polic, Nischita Sudharsan
2020 Zenodo  
ARtwin project: A report specifying the pivot format of the map that will be used to develop the services provided by the ARtwin platform.  ...  This project has received funding from the European Union's Horizon 2020 Framework Programme for research and Innovation under Grant Agreement no 856994.  ...  For the fitting of the 3D models with the 3D scan, NX is used for layouting and Process Simulate for simulation of single robotic cells.  ... 
doi:10.5281/zenodo.4381408 fatcat:pn2ioshymfcrrkbuhxg72kr7zy

Autonomous Driving in Adverse Weather Conditions: A Survey [article]

Yuxiao Zhang, Alexander Carballo, Hanting Yang, Kazuya Takeda
2021 arXiv   pre-print
Automated Driving Systems (ADS) open up a new domain for the automotive industry and offer new possibilities for future transportation with higher efficiency and comfortable experiences.  ...  State-of-the-art techniques on perception enhancement with regard to each kind of weather are thoroughly reported.  ...  Image cour- tesy of Mr.  ... 
arXiv:2112.08936v1 fatcat:hmgjhywy7rgx3fgrk6yxnu56ie

Applications and Challenges of Artificial Intelligence in Space Missions

Paul A. Oche, Gideon A. Ewa, Nwanneka Ibekwe
2021 IEEE Access  
These limitations have necessitated the need to have a concise survey with a wider scope for those interested in the applications and challenges of AI in the space industry, especially those with technical  ...  The first category suffers from the limitation of being old and not covering some crucial and recent developments in the field; such as the contributions of Deep Learning (DL) and bioinspired AI algorithms  ...  Challenges for Deep Learning in Robotic Vision [219] . VOLUME XX, 2021 through 2021 Mars and other planetary exploration in deep space.  ... 
doi:10.1109/access.2021.3132500 fatcat:2n5el5dcqzgdtc3brca5xwxrfu

A design methodology for 2D sparse NDE arrays using an efficient implementation of refracted-ray TFM

Jerzy Dziewierz, Timothy Lardner, Anthony Gachagan
2013 2013 IEEE International Ultrasonics Symposium (IUS)  
One of these technologies takes advantage of the acoustic radiation forces associated with ultrasound standing wave fields to spatially pattern cells within collagen-based hydrogels.  ...  Recent advances in the field of tissue engineering include the engineering of skin, cartilage, and bladder, all of which are relatively thin tissues that can rely on diffusion for the delivery of oxygen  ...  The authors acknowledge the ANR and DGA for their support under the project Metactif, grant ANR-11-ASTR-015.  ... 
doi:10.1109/ultsym.2013.0035 fatcat:th5znfh7y5bklfdbmhb4u6iq2i

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
In this work, we present a high speed one-bit imaging technique using dynamic mode AFM with a high quality factor cantilever.  ...  Further, we present computational photography challenges that amplify the requirements for data with high SNR. A discussion of image quality evaluations concludes this presentation.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

Modeling & Analysis

2003 NeuroImage  
As for the simulations, there was a trend for F and t statistics to decrease linearly with increasing ISI. The RMSE increased linearly with increasing ISI.  ...  Introduction MR images of geriatric subjects do no match properly with the Montreal Neurological Institute (MNI) templates for three main reasons: brain atrophy, presence of large white matter lesions  ...  Real and simluated data suggest that random field theory methods for low-df t images are quite conservative.  ... 
doi:10.1016/s1053-8119(05)70006-9 fatcat:zff2suxcofbxvetfrwfwcxi3zm

Cell Segmentation in Cervical Smear Images using Polar Coordinates GVF Snake with Radiating Edge Map

Xu Chuanyun, Zhang Yang, Wang Sen
2013 Journal of Multimedia  
The watermark information is embedded in a halftone process for image screening with phase modulation method. The watermark is extracted by a template, which is optimized using the PSO algorithm.  ...  Both mean filtering and median filtering are used to remove noise from the recovered watermark image.  ...  We also thank the anonymous reviewers for their suggestions and feedback that helped us to improve the quality of this paper.  ... 
doi:10.4304/jmm.8.3.213-219 fatcat:fb5tm3tguvgmxblj3eygm7pqmu

A 3D Simplification Method based on Dual Point Sampling

Juan Cao, Yitian Zhao, Ran Song, Yingchun Zhang
2013 Journal of Multimedia  
The watermark information is embedded in a halftone process for image screening with phase modulation method. The watermark is extracted by a template, which is optimized using the PSO algorithm.  ...  Both mean filtering and median filtering are used to remove noise from the recovered watermark image.  ...  We also thank the anonymous reviewers for their suggestions and feedback that helped us to improve the quality of this paper.  ... 
doi:10.4304/jmm.8.3.191-197 fatcat:z5gmzeiwqfadlakggntajifdru
« Previous Showing results 1 — 15 out of 205 results