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Pattern Classification Approaches for Breast Cancer Identification via MRI: State-Of-The-Art and Vision for the Future
2020
Applied Sciences
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Finally, the general structure of a high-dimensional medical imaging analysis platform that is based on multi-task detection and learning is proposed as a way forward. ...
Mining algorithms for Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) of breast tissue are discussed. ...
The observation group used a high field 1.5 Tesla magnetic resonance instrument to perform a higher contrast resolution DCE-MRI examination, and the control group underwent routine MRI examination, aiming ...
doi:10.3390/app10207201
fatcat:tofpvyllzbautos4my26xajqfe
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1904.08254v1 fatcat:cg63h3qaevaadfcfmsqlxqa4xe
USE-Net is compared against three state-of-the-art CNN-based architectures (i.e., U-Net, pix2pix, and Mixed-Scale Dense Network), along with a semi-automatic continuous max-flow model. ...
Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. ...
We thank the Cannizzaro Hospital, Catania, Italy, for providing one of the imaging datasets analyzed in this study.
References ...
arXiv:1904.08254v2
fatcat:voxb75goxbbtzchnrkk73k3s4y
Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges
2021
Diagnostics
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and rectal cancers on computed tomography (CT) and magnetic resonance imaging (MRI), highlighting the key findings, challenges and limitations. ...
The recent rise of deep learning (DL) and its promising capabilities in capturing non-explicit detail from large datasets have attracted substantial research attention in the field of medical image processing ...
Introduction Owning to the recent rise of high-resolution imaging modalities such as X-ray computed tomography (CT) and magnetic resonance imaging (MRI), medical practitioners rely on spatial visualization ...
doi:10.3390/diagnostics11111964
pmid:34829310
pmcid:PMC8625809
fatcat:alr36jtq6fgeddnluclp5neb2i
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
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Article numbers are based on specified topic areas and corresponding codes associated with the publication. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number. ...
TIM 2021 5016116 Zheng, P., see Fu, N., TIM 2021 6501514 Zheng, Q., see Zhu, L., TIM 2021 6009307 Zheng, Q.,
Yang, H., Zhou, L., Yu, B., and Zhang, Y., HLU 2-Net: A Residual U-Structure Embedded U-Net ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
2020 Index IEEE Transactions on Biomedical Engineering Vol. 67
2020
IEEE Transactions on Biomedical Engineering
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to "Medical Image Synthesis With Deep Convolutional Adversarial Networks" [Mar 18 2720-2730]; TBME Sept. 2020 2706 Nie, Q., see Zheng, X., 1418-1428 Nieberler, M., see Gorpas, D., TBME Jan. 2020 185- ...
for EEG Sensor Networks With Application to Auditory Attention Detection; TBME Jan. 2020 234-244 Natarajan, K., see Chandrasekhar, A., TBME Nov. 2020 3134-3140 Nath, M., see Maity, S., TBME Dec. 2020 ...
., +, TBME Dec. 2020 3403-3412 Magnetic resonance imaging Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks" [Mar 18 2720-2730]. ...
doi:10.1109/tbme.2020.3048339
fatcat:y7zxxew27fgerapsnrhh54tm7y
Deep Learning in Photoacoustic Tomography: Current approaches and future directions
[article]
2020
arXiv
pre-print
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Biomedical photoacoustic tomography, which can provide high resolution 3D soft tissue images based on the optical absorption, has advanced to the stage at which translation from the laboratory to clinical ...
In particular, it shows how these new techniques can be understood from a Bayesian perspective, providing useful insights. ...
Acknowledgments The authors would like to express their thanks to Paul Beard and UCL's Photoacoustic Imaging Group for many helpful discussions on all aspects of PAT over many years, and also to Simon ...
arXiv:2009.07608v1
fatcat:mxrqjeahnvhjdiicmzohbnaliu
Deep learning in photoacoustic tomography: current approaches and future directions
2020
Journal of Biomedical Optics
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Biomedical photoacoustic tomography, which can provide high-resolution 3D soft tissue images based on optical absorption, has advanced to the stage at which translation from the laboratory to clinical ...
In particular, it shows how these techniques can be understood from a Bayesian perspective, providing useful insights. ...
Acknowledgments The authors would like to express their thanks to Paul Beard and UCL's Photoacoustic Imaging Group for many helpful discussions on all aspects of PAT over many years and also to Simon ...
doi:10.1117/1.jbo.25.11.112903
fatcat:od2qjawvfjcwjdjrky663dwqv4
Computer-Assisted Analysis of Biomedical Images
[article]
2021
arXiv
pre-print
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In reference to biomedical image analysis, the advances in image acquisition modalities and high-throughput imaging experiments are creating new challenges. ...
Therefore, the computational analysis of medical and biological images plays a key role in radiology and laboratory applications. ...
AGs were introduced into the standard U-Net, so defining Attention U-Net, which achieved high performance in multi-class image segmentation without relying on multi-stage cascaded CNNs. ...
arXiv:2106.04381v1
fatcat:osqiyd3sbja3zgrby7bf4eljfm
Proceedings of the World Molecular Imaging Congress 2021, October 5-8, 2021: General Abstracts
2022
Molecular Imaging and Biology
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Conclusions: An efficient, iterative deconvolution algorithm with a novel resolution subsets-based approach that operates on patient DICOM images has been used for quantitative improvement in MRI clinical ...
The uncertainty caused in the system was modeled as an iterative deconvolution with resolution subsets to denoise and enhance image resolution. ...
The nanocluster system with a high selectivity showed the potential for fluorescence imaging and the integrating of gold and MMAE demonstrated excellent concurrent chemotherapy-radiotherapy efficacy, which ...
doi:10.1007/s11307-021-01693-y
pmid:34982365
pmcid:PMC8725635
fatcat:4sfb3isoyfdhfbiwxfr55gvqym
Quantitative Phase Imaging and Artificial Intelligence: A Review
[article]
2018
arXiv
pre-print
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Herein, we review the synergy between QPI and machine learning with a particular focus on deep learning. Further, we provide practical guidelines and perspectives for further development. ...
The fast and label-free nature of QPI enables the rapid generation of large-scale and uniform-quality imaging data in two, three, and four dimensions. ...
PRACTICAL GUIDELINES FOR DEEP LEARNING IN QPI Deep learning is an important technique that is employed to explore biomedical images from a variety of modalities, including magnetic resonance imaging (MRI ...
arXiv:1806.03982v2
fatcat:bt2h4c63gnalhhsbm4c6zyuhtu
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates
2014
Zenodo
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warriors with post-traumatic brain injury, stress, or loss of memory (i.e. the Restoring Active Memory (RAM) funding opportunity), as well as new neurotechnology-based capabilities (e.g. the Systems-Based ...
The budget request details the proposed investments $80 million to develop new sets of tools for imaging and analytics of neural and synaptic brain activities that will improve diagnosis and care of wounded ...
) program addressed the passive imaging needs for multi-band, wide-field-of-view (FOV) and high-resolution imaging for ground and nearground platforms. ...
doi:10.5281/zenodo.1215345
fatcat:fjzhmynqjbaafk67q2ckcblj2m
Quantum computing enhanced machine learning for physico-chemical applications
[article]
2021
arXiv
pre-print
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We shall not only present a brief overview of the well-known techniques but also highlight their learning strategies using statistical physical insight. ...
Such algorithms have revolutionzed material design and performance of photo-voltaics, electronic structure calculations of ground and excited states of correlated matter, computation of force-fields and ...
At high temperatures the thermal fluctuations kill any order within the system causing them to arrange chaotically with no net observable magnetic field. ...
arXiv:2111.00851v1
fatcat:i2caiglszvbufbyfmf3cwkcduu
Self-Organized Evolutionary Process in Sets of Interdependent Variables near the Midpoint of Phase Transition in K-Satisfiability
[chapter]
2001
Lecture Notes in Computer Science
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Ackerman, John T Strategic Studies Quarterly: An Air Force-Sponsored Strategic Forum for Military, Government, and Academic Professionals. Volume 2, Number 1 -7 Acuff, Hugh F ...
Multi-Hazard (HAZUS-MH) Hurricane module for hurricane damage and loss risk assessment. ...
The compressed data stream consists of prediction residuals encoded using a method similar to that of the JPEG-LS lossless image compression standard. ...
doi:10.1007/3-540-45443-8_20
fatcat:ght26tu6avh57kkp54kifofaee
Privacy Management of Multi User Environment in Online Social Networks (OSNs)
2013
IOSR Journal of Computer Engineering
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Besides we also implement a proof-of-concept prototype which is called as MController (multi controller) having contributor, stakeholder and disseminator controllers along with owner controller. ...
We formulate an access control model to capture the essence of multiparty authorization requirements, along with a multiparty policy specification scheme and a policy enforcement mechanism. ...
Leena Ragha, Head of the Department of Computer Engineering, Ramrao Adik Institute of Technology and Prof. ...
doi:10.9790/0661-1320107
fatcat:rdpsdcqelbbzvkg5rm4og4tzba
13th EBSA congress, July 24–28, 2021, Vienna, Austria
2021
European Biophysics Journal
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EBSA also maintains fruitful collaborative links with the US-based Biophysical Society, which is also supporting our congress with an offer of bursaries and poster prizes, as a way to promote collaborative ...
Biophysics is contributing significantly, in close collaboration with so many other disciplines, to a solution of the Covid-19 problem, and we will have in Vienna a good selection of biophysical studies ...
For quantification, we trained a deep neuronal network (3D U-NET). ...
doi:10.1007/s00249-021-01558-w
pmid:34245338
pmcid:PMC8272448
fatcat:z2svytd4kbamrmvarle4lxwtxm
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