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Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? [article]

Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang
<span title="2018-11-08">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Commercial iterative reconstruction techniques on modern CT scanners target radiation dose reduction but there are lingering concerns over their impact on image appearance and low contrast detectability  ...  Here we design a novel neural network architecture for low-dose CT (LDCT) and compare it with commercial iterative reconstruction methods used for standard of care CT.  ...  Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.03691v1">arXiv:1811.03691v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/75zgv47hbzdajptylxzvhms7ee">fatcat:75zgv47hbzdajptylxzvhms7ee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200824033026/https://arxiv.org/pdf/1811.03691v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/64/49/64495c6b0b0d562bd146310641e26c6069708045.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.03691v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging [article]

Ziju Shen and Yufei Wang and Dufan Wu and Xu Yang and Bin Dong
<span title="2021-09-14">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We first formulate the CT scanning process as an MDP, and then use modern deep RL methods to solve it.  ...  Computed Tomography (CT) takes X-ray measurements on the subjects to reconstruct tomographic images.  ...  The reconstructed image I t can be obtained from any reconstruction algorithm such as SART, TV regularization [11, 70] , wavelet frame regularization [71, 7] , and any modern deep learning based methods  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.02420v5">arXiv:2006.02420v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ty4gevn575atpc4ooptjhtckd4">fatcat:ty4gevn575atpc4ooptjhtckd4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210917200324/https://arxiv.org/pdf/2006.02420v5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/00/a6/00a66ac66c15ae4f79aca043678225ee99f3cc5b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.02420v5" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning to scan: A deep reinforcement learning approach for personalized scanning in CT imaging

Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang, Bin Dong
<span title="">2021</span> <i title="American Institute of Mathematical Sciences (AIMS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/axidtgwpanf6rabcadvwl4axum" style="color: black;">Inverse Problems and Imaging</a> </i> &nbsp;
We first formulate the CT scanning process as an Markov Decision Process (MDP), and then use modern deep RL methods to solve it.  ...  Computed Tomography (CT) takes X-ray measurements on the subjects to reconstruct tomographic images.  ...  The reconstructed image I t can be obtained from any reconstruction algorithm such as SART, TV regularization [56, 27] , wavelet frame regularization [55, 8] , and any modern deep learning based methods  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3934/ipi.2021045">doi:10.3934/ipi.2021045</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/si463k27tneqhj6ufxpywymruu">fatcat:si463k27tneqhj6ufxpywymruu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715171327/https://www.aimsciences.org/article/exportPdf?id=a14f0cf3-4842-4b52-ac91-1d0c74ca11fe" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e8/38/e838c325e89fa750b24f58b9e8c95ac04c29b201.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3934/ipi.2021045"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Literature review on X-Ray based Pneumonia Detection using Machine Learning and Deep Learning Methods

Dr. Hamid Anam Naz
<span title="2021-01-13">2021</span> <i title="Zenodo"> Zenodo </i> &nbsp;
The review is structured based on Deep learning, transfer learning and machine learning methods using chest x-rays images for the early identification of pneumonia.  ...  Many researchers have done their research for the identification of pneumonia using machine learning and deep learning methods.  ...  Jae Hyun Kim et al takes advantage and used commercial deep learning in their research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.5149767">doi:10.5281/zenodo.5149767</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tvhoj4dl45c67gxbf45eyrqvey">fatcat:tvhoj4dl45c67gxbf45eyrqvey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210802132904/https://zenodo.org/record/5149768/files/LCJSTEM-035.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/11/51/1151b65e99d02fe1aefcefcb9841719c0f7fa5d4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.5149767"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data

Mario Sokac, Djordje Vukelic, Zivana Jakovljevic, Zeljko Santosi, Miodrag Hadzistevic, Igor Budak
<span title="2019-09-15">2019</span> <i title="Faculty of Mechanical Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hljgvntzybck3oodncdnbsrfaa" style="color: black;">Strojniski vestnik</a> </i> &nbsp;
This research proposes a hybrid method for improving the segmentation accuracy of reconstructed 3D models from computed tomography/ magnetic resonance imaging (CT/MRI) data.  ...  Highlights • A hybrid method is proposed for accurate segmentation of CT/MRI data. • A new seed selection approach for the region growing method is developed. • Experimental results show good accuracy  ...  A combination of different methods can improve data extraction from CT images, as seen in [19] by implementing a deep learning model or by combining spatial fuzzy clustering and level-set methods [20  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5545/sv-jme.2019.6136">doi:10.5545/sv-jme.2019.6136</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3gdp4jlpqjfddche7zkhtob5fa">fatcat:3gdp4jlpqjfddche7zkhtob5fa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307050901/https://www.sv-jme.eu/?ns_articles_pdf=/ns_articles/files/ojs/6136/public/6136-33684-1-PB.pdf&amp;id=6357" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7a/f2/7af2986ac1708f32c58f5f4f40d0f9947da45871.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5545/sv-jme.2019.6136"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods

Kamil Zeleňák, Antonín Krajina, Lukas Meyer, Jens Fiehler, Daniel Behme, Deniz Bulja, Jildaz Caroff, Amar Ajay Chotai, Valerio Da Ros, Jean-Christophe Gentric, Jeremy Hofmeister, Omar Kass-Hout (+5 others)
<span title="2021-05-27">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gbzbhas4rfd5pkn6xglvth3dre" style="color: black;">Life</a> </i> &nbsp;
Their implementation can be achieved in every level of stroke care.  ...  Nowadays, the speed of internet connection is a limiting factor for robotic systems, which can be controlled and commanded potentially from various places in the world.  ...  Inappropriate scoring can naturally lead to wrong patient management. To achieve appropriate interpretation of CT images, dedicated reconstruction algorithms are recommended.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/life11060488">doi:10.3390/life11060488</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34072071">pmid:34072071</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/knirhcz2zvbmzh7wscu26yacuu">fatcat:knirhcz2zvbmzh7wscu26yacuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210603054705/https://res.mdpi.com/d_attachment/life/life-11-00488/article_deploy/life-11-00488.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a3/40/a34066d01158fac4f80db2eaf7f1ecc14499ae60.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/life11060488"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Editorial: Machine Learning for Quantitative Neuroimaging Analysis

Yuankai Huo, Dakai Jin, Yudong Zhang, Dazhou Guo, Zhishun Wang
<span title="2022-05-25">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wrk3kouosrhcxiprcbguskdipu" style="color: black;">Frontiers in Neuroscience</a> </i> &nbsp;
Rakhimberdina et al. conducted a comprehensive review on deep learning based natural image reconstruction from fMRI.  ...  ., MRI and CT) typically refers to the imaging methods whose aims are to visualize, quantify and analyze anatomical properties of the brain structures.  ...  The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnins.2022.925819">doi:10.3389/fnins.2022.925819</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hxidvbmn6nfcvo5htojxt5asfy">fatcat:hxidvbmn6nfcvo5htojxt5asfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220526150211/https://fjfsdata01prod.blob.core.windows.net/articles/files/925819/pubmed-zip/.versions/2/.package-entries/fnins-16-925819-r1/fnins-16-925819.pdf?sv=2018-03-28&amp;sr=b&amp;sig=TyAFNEC99Q6O%2BVmo4Pe2TB%2FDuv%2FQee8JYR%2Fgqhpd9%2BE%3D&amp;se=2022-05-26T15%3A02%3A41Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fnins-16-925819.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/52/89523c9953d27bd67e366bcd3898b5b542c53359.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnins.2022.925819"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

A combined local and global motion estimation and compensation method for cardiac CT

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
<span title="2014-03-19">2014</span> <i title="SPIE"> Medical Imaging 2014: Physics of Medical Imaging </i> &nbsp;
Recently, patch based methods, such as dictionary learning and non-local means filter, have outperformed the conventional pixel based methods.  ...  It was shown that the SNR of CT image data can be improved using iterative reconstruction [1] .  ...  We report a label-free (i.e. no chemical de-waxing, or staining) method of imaging large pieces of prostate tissue (typically 1 cm ?  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2043492">doi:10.1117/12.2043492</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fyzpc5m6jbh7fjohqpdmtzkhte">fatcat:fyzpc5m6jbh7fjohqpdmtzkhte</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140308053954/http://spie.org:80/Documents/ConferencesExhibitions/MI14-Abstracts.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2043492"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Probabilistic self-learning framework for Low-dose CT Denoising [article]

Ti Bai, Dan Nguyen, Biling Wang, Steve Jiang
<span title="2021-01-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Supervised deep learning can be used to train a neural network to denoise the low-dose CT (LDCT).  ...  Experimental results demonstrated that the proposed method outperformed the competitors, producing an enhanced LDCT image that has similar image style as the routine NDCT which is highly-preferable in  ...  Code Availability The code would be publicly released via https://github.com/baiti01/LDCT-probabilistic-self-learning once this work is accepted for publication.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.00327v2">arXiv:2006.00327v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tw2whydzfrhwrms6iacqntfa2y">fatcat:tw2whydzfrhwrms6iacqntfa2y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908090505/https://arxiv.org/ftp/arxiv/papers/2006/2006.00327.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/72/09/7209c514194b0aa5ee0562807702b98f096fcf03.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.00327v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Synergizing medical imaging and radiotherapy with deep learning

Hongming Shan, Xun Jia, Pingkun Yan, Yunyao Li, Harald Paganetti, Ge Wang
<span title="2020-04-03">2020</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3prz46yunvc7zd6vmsixa7dpfa" style="color: black;">Machine Learning: Science and Technology</a> </i> &nbsp;
This article reviews deep learning methods for medical imaging (focusing on image reconstruction, segmentation, registration, and radiomics) and radiotherapy (ranging from planning and verification to  ...  It is believed that deep learning in particular, and artificial intelligence and machine learning in general, will have a revolutionary potential to advance and synergize medical imaging and radiotherapy  ...  It is our point of view that in principle deep reconstruction methods ought to outperform analytic reconstruction, iterative reconstruction, and compressed sensing algorithms for tomographic image reconstruction  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/2632-2153/ab869f">doi:10.1088/2632-2153/ab869f</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aibfmfelcngkrk4ilwcs25c77a">fatcat:aibfmfelcngkrk4ilwcs25c77a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211014165045/https://iopscience.iop.org/article/10.1088/2632-2153/ab869f/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/4c/3f4c225e00a578a2bf857059f4bf65f370cd0ba3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/2632-2153/ab869f"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> iop.org </button> </a>

Limited Parameter Denoising for Low-dose X-ray Computed Tomography Using Deep Reinforcement Learning [article]

Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
<span title="2022-03-28">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The use of deep learning has successfully solved several problems in the field of medical imaging. Deep learning has been applied to the CT denoising problem successfully.  ...  Our method does not introduce any blurring, which is introduced by MSE loss based methods, or any deep learning artifacts, which are introduced by WGAN based models.  ...  Moreover, deep learning methods require a large amount of data to learn the image translation from the low dose to standard dose CT.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.14794v1">arXiv:2203.14794v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u6v66pmhvvannkiwg2ht6adwaa">fatcat:u6v66pmhvvannkiwg2ht6adwaa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220520100432/https://arxiv.org/pdf/2203.14794v2.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e7/11/e7115183b85b5cdbdfd620e6b98054e17a98b460.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.14794v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior [article]

Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun
<span title="2018-12-19">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recently, deep learning based compressive image recovery methods have been proposed and have yielded state-of-the-art performances.  ...  Our proposed methods were able to train deep learning based image denoisers from undersampled measurements without ground truth images and without image priors, and to recover images with state-of-the-art  ...  Figure 1 : Ground truth MR image from fully-sampled data (left), reconstructed MR images from 50%-sampled data using conventional TV image prior (middle, [27] ) and our proposed deep learning based method  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.00961v2">arXiv:1806.00961v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eweyiup7lrcy3noox35tu4ytka">fatcat:eweyiup7lrcy3noox35tu4ytka</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826121258/https://arxiv.org/pdf/1806.00961v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/ae/75ae1968722cc4dda2f4b17cf7c02c71a8a22784.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.00961v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The promise of artificial intelligence and deep learning in PET and SPECT imaging

Hossein Arabi, Azadeh AkhavanAllaf, Amirhossein Sanaat, Isaac Shiri, Habib Zaidi
<span title="2021-03-22">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qdb7dbyjvnf43ohpvz2aqercrm" style="color: black;">Physica medica (Testo stampato)</a> </i> &nbsp;
A brief description of deep learning algorithms and the fundamental architectures used for these applications is also provided.  ...  This review will focus on mainstream generic fields, including instrumentation, image acquisition/formation, image reconstruction and low-dose/fast scanning, quantitative imaging, image interpretation  ...  For instance, deep learning-guided CT image reconstruction developed by GE Medical Systems obtained FDA approval [30] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ejmp.2021.03.008">doi:10.1016/j.ejmp.2021.03.008</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33765602">pmid:33765602</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/onw4fm22y5cxndxiwyy5bdw4t4">fatcat:onw4fm22y5cxndxiwyy5bdw4t4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715212603/https://archive-ouverte.unige.ch/files/downloads/0/0/1/5/1/8/1/4/unige_151814_attachment01.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ce/16/ce16703ea8c91336aecb6288a2adf08f71109576.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ejmp.2021.03.008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

The application of artificial intelligence and radiomics in lung cancer

Yaojie Zhou, Xiuyuan Xu, Lujia Song, Chengdi Wang, Jixiang Guo, Zhang Yi, Weimin Li
<span title="2020-08-24">2020</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zdxlwkgpmvfyjdyq724nuanrp4" style="color: black;">Precision Clinical Medicine</a> </i> &nbsp;
Meanwhile, radiomics based on traditional machine learning also does a great job in mining information through medical images.  ...  Furthermore, in the study classifying subtypes of lung ADC, the proposed model combing both deep learning and radiomic features outperformed other pure radiomic and deep learning models with an accuracy  ...  Deep Learning Deep learning is fed with raw images and extracts higher-level features through Deep Neural Network A deep neural network (DNN) with more than one hidden layer mimics the way that the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/pcmedi/pbaa028">doi:10.1093/pcmedi/pbaa028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gpjll7iwavgppgfmcm4qiwnl5e">fatcat:gpjll7iwavgppgfmcm4qiwnl5e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200902061631/https://watermark.silverchair.com/pbaa028.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAArswggK3BgkqhkiG9w0BBwagggKoMIICpAIBADCCAp0GCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQM5hhMDmKMZRJYlPd3AgEQgIICbrT5pByV0kLkEvqWbA1vdSn64p2ymQOky3FsvMVo8qqIHnQ71p_-MLJfXNfTxHd4isnkjUz9WjJoB0IZ5HxhF0Zk1iPQPL3CKU0wpSglRDf1X-1tzGLdPYI5ETBZWwWPGxQKtshrdKkhSyBVde3zkKqb7dQ2q5mXuE-5je8eP09Cb0pBeinNki_ZzQUphAyv_jSKsMfjaO7geJEJ2a8WUU10V6DeZdAYOjK_kbYGDwnw2CWs5H7P1NbidG9WxenPzYaS8UaMs6-Fb6Xt9VOZDtxmMVHsHUUfeJFD6c9c0Mb8824keraqsW5and71o5Ztmn_jZX6ixTUjk5SSxfGF5QpRfzRPnIuVv3VbKIVKIx-qVa9DXy0RQ3X_Q3dwnN1Ds2vT_I3x80BlGyCknnwjdcBztEAPJFQUSw6qRpTp2RwPWPwb9kNy5OxlnRderBMjdNMLVnE02ROzs2MwlgV5lhfIPWFmnmrkAFtOFbwwwV8kL9sIrhun3C6ydgp_ih4rAfDePraCLtLAV-nL7tyb5dsyVfylsABFzjiza_uDedU2R4pMioHFlgsCBeGQWzPRoFfrQ_1wAtcoKfYnDD7C_ZfB2WaZ2t0OWRFsDOPGntZdptKL_gRKy_ZFDqk__vzvzm1EOdqSDqDtuzlgeTsOyaDEVD54eTzAVWqiXmjS6H7B5WC21RpTaog5Qk4pzruSCuSXceglYba5Xpl85MPDxn46afm8eSC6ojgqOeqErZRL0CyI3fPEBJ2X7K0gKZX1aUwsiL2zQSNlvKoRBIhpvl9ZB0eDQUXMgZbR6ez3x2befiCwLcmNdCl_tz7SkwI" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/pcmedi/pbaa028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a>

Deep Learning Based Pain Treatment

Tarun Jaiswal, Sushma Jaiswal
<span title="2019-06-30">2019</span> <i title="South Asia Management Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oarwpnpqjjfbbkyptszxdp4ch4" style="color: black;">International Journal of Trend in Scientific Research and Development</a> </i> &nbsp;
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  ...  Indeed, the application of machine learning for pain investigationassociated non-imaging problems has been mentioned in publications in scientific journals since 1940-2018.  ...  The method significantly outperforms state-of-the art machine learning and deep learning approaches both in terms of accuracy and speed on 2D magnetic resonance images, 2D ultrasound and 3D CT images,  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31142/ijtsrd23639">doi:10.31142/ijtsrd23639</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tqg4u3tkgjhmjpya67g3lnewwu">fatcat:tqg4u3tkgjhmjpya67g3lnewwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200319010109/https://www.ijtsrd.com/papers/ijtsrd23639.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/aa/3daaf28ef460ee26b6646efa0f966f19037404a1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31142/ijtsrd23639"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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