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An Empirical Evaluation of Machine Learning Techniques for Chronic Kidney Disease Prophecy

Bilal Khan, Rashid Naseem, Fazal Muhammad, Ghulam Abbas, Sunghwan Kim
2020 IEEE Access  
Moreover, experimental results using accuracy revealed 95.75% for NB, 96.50% for LR, 97.25% for MLP, 97.75% for J48, 98.25% for SVM, 98.75% for NBTree, and 99.75% for CHIRP.  ...  ML techniques have been used for achieving analytical results which is one of the instruments utilize in medical analysis and prediction.  ...  [20] use AB for decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images.  ... 
doi:10.1109/access.2020.2981689 fatcat:nwt2xkkbxvexjm7zogupznevom

ECR 2016 Book of Abstracts - A - Postgraduate Educational Programme

2016 Insights into Imaging  
decision support systems.  ...  Imaging biomarkers will be more and more quantitative, and will be used in formal models of decision, implemented in decision support systems.  ...  Diffuse liver diseases such as chronic hepatitis and nonalcoholic fatty liver disease are other disease entities that require a thorough radiological workup and patient follow-up.  ... 
doi:10.1007/s13244-016-0474-9 pmid:26873353 pmcid:PMC4762839 fatcat:itxslbcacjhh3kixfkcwmdbt44

ECR 2015 Book of Abstracts - A - Postgraduate Educational Programme

2015 Insights into Imaging  
decision support systems.  ...  Imaging biomarkers will be more and more quantitative, and will be used in formal models of decision, implemented in decision support systems.  ...  Diffuse liver diseases such as chronic hepatitis and nonalcoholic fatty liver disease are other disease entities that require a thorough radiological workup and patient follow-up.  ... 
doi:10.1007/s13244-015-0386-0 pmid:25708993 pmcid:PMC4349897 fatcat:m7eyvqcwojfpvf3lr5hy6dwjb4

ECR 2011 Book of Abstracts - A - Postgraduate Educational Programme

2011 Insights into Imaging  
decision support systems.  ...  Imaging biomarkers will be more and more quantitative, and will be used in formal models of decision, implemented in decision support systems.  ...  Diffuse liver diseases such as chronic hepatitis and nonalcoholic fatty liver disease are other disease entities that require a thorough radiological workup and patient follow-up.  ... 
doi:10.1007/s13244-011-0078-3 pmid:23100070 pmcid:PMC3533621 fatcat:qa3ln4hhvve2hhumgwwnmykgoe

ECR 2013 Book of Abstracts - A - Postgraduate Educational Programme

2013 Insights into Imaging  
decision support systems.  ...  Imaging biomarkers will be more and more quantitative, and will be used in formal models of decision, implemented in decision support systems.  ...  Diffuse liver diseases such as chronic hepatitis and nonalcoholic fatty liver disease are other disease entities that require a thorough radiological workup and patient follow-up.  ... 
doi:10.1007/s13244-013-0227-y pmid:23468009 pmcid:PMC3666656 fatcat:yitsk227mba2pl7wcypouf6tz4

Proceedings of the International Cancer Imaging Society (ICIS) 18th Annual Teaching Course

2018 Cancer Imaging  
Decision support systems are already in routine use in hospitals for selecting most appropriate imaging methods and imaging protocols according to the latest international guidelines.  ...  Support of imaging decisions for best possible utilization of local radiologic capabilities is feasible using the novel communication technology (DiPiro PJ 2017).  ...  Linear regression analysis line slope can be used as an index for distinguishing adenocarcinoma from squamous cell carcinoma.  ... 
doi:10.1186/s40644-018-0160-x fatcat:l3fdy44aunejnfamsnka5hfiwu

The Proceedings of the 19th International Cancer Imaging Society Meeting and Annual Teaching Course

2019 Cancer Imaging  
To describe imaging findings suggestive of pseudolesions in fatty liver and rule out true masses.  ...  Radiomics and machine learning methods have been proposed to extract data from medical images.  ...  It can provide a diagnostic dilemma when discovered on imaging as it can be mistaken for lymphoproliferative or metastatic disease.  ... 
doi:10.1186/s40644-019-0244-2 fatcat:24addaecrngdvc2c6v37ai5qeq

ECR 2012 Book of Abstracts - A - Postergraduate Educational Programme

2012 Insights into Imaging  
To know how to choose the appropriate imaging modality. 2. To be familiar with the patterns of distribution and appearance in imaging. 3. To learn how to differentiate ischaemia from inflammation.  ...  Positron-emitting radionuclides for PET images, created in a cyclotron (18 F, 11C, 15O, 64Cu, 124I, 13N) or in a generator (68Ga), will be described.  ...  This added value concerns primarily: (1) more effective decision support, thanks to the more precise definition of involved information, e.g. the quantitative markers extracted from the images, (2) enhanced  ... 
doi:10.1007/s13244-012-0153-4 pmid:22696127 pmcid:PMC3481066 fatcat:te6ctbtakzh5njsw43geghw3ta

ESGAR 2011 Book of Abstracts

2011 Insights into Imaging  
This helps the clinical decision making. focal pancreatic mass pathologically proved, visible at ultrasound (US) and studied with CEUS. All lesions were then evaluated for enhancement pattern.  ...  Visually, 5 HCA were iso-/hyperintens compared to the surrounding liver parenchyma in the fs T1w images of the hbp; all of these were found in only 2 patients with prominent fatty livers.  ... 
doi:10.1007/s13244-011-0095-2 pmid:23100122 pmcid:PMC3533614 fatcat:4dfziojg5zfmhgf5iwbimggxqm

Ultrasound, CT, MRI, or PET-CT for staging and re-staging of adults with cutaneous melanoma

Jacqueline Dinnes, Lavinia Ferrante di Ruffano, Yemisi Takwoingi, Seau Tak Cheung, Paul Nathan, Rubeta N Matin, Naomi Chuchu, Sue Ann Chan, Alana Durack, Susan E Bayliss, Abha Gulati, Lopa Patel (+8 others)
2019 The Cochrane library  
Various imaging tests can be used with the aim of detecting metastatic spread of disease following a primary diagnosis of melanoma (primary staging) or on clinical suspicion of disease recurrence (re-staging  ...  Establishing the comparative accuracy of ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)-CT imaging for detection of nodal or distant metastases  ...  Increasing availability of adjuvant therapies for melanoma is bound to have a considerable impact on imaging services, but the evidence base to support any increase in imaging for primary staging of disease  ... 
doi:10.1002/14651858.cd012806.pub2 pmid:31260100 pmcid:PMC6601698 fatcat:wsrnwy7avzg3hm666hocr5svme

ESGAR 2017 Book of Abstracts

2017 Insights into Imaging  
extracted from diffusion-weighted MR images.  ...  Material and methods: 14 patients with pancreatic adenocarcinoma underwent MRI examination on a 1.5T system. B1000 DWI images were used to extract texture features.  ... 
doi:10.1007/s13244-017-0557-2 pmid:28534156 pmcid:PMC5440311 fatcat:iz2fonoizvcoxm65237mvsxajy

Proceedings of the International Cancer Imaging Society (ICIS) 16th Annual Teaching Course

Dow-Mu Koh, Sue Creviston Kaste, Sarah J. Vinnicombe, Giovanni Morana, Andrea Rossi, Christian J. Herold, Theresa C. McLoud, Kirk A. Frey, Bernhard Gebauer, Derek Roebuck, Jurgen J. Fütterer, Alexander J. Towbin (+237 others)
2016 Cancer Imaging  
Acknowledgements Supported in part by grant P30 CA-21765 from the National Institutes of Health, a Center of Excellence grant from the State of Tennessee, the Le Bonheur Foundation (Memphis TN), and the  ...  Acknowledgements I am grateful to all my colleagues at PET Imaging Centre at St Thomas', in particular Professor Sally Barrington for her invaluable guidance and expertise.  ...  Recent developments of US including ultrasound elastography (USE) and multimodality fusion imaging may play an important role for management of patients with chronic liver disease and liver cirrhosis  ... 
doi:10.1186/s40644-016-0079-z fatcat:q4grs2pvgnbxxbpocfone7mlv4

How clinical imaging can assess cancer biology

Roberto García-Figueiras, Sandra Baleato-González, Anwar R. Padhani, Antonio Luna-Alcalá, Juan Antonio Vallejo-Casas, Evis Sala, Joan C. Vilanova, Dow-Mu Koh, Michel Herranz-Carnero, Herbert Alberto Vargas
2019 Insights into Imaging  
Many of these tumor traits are imageable through different imaging techniques.  ...  This paper aims to summarize the current and emerging applications of imaging in tumor biology assessment.  ...  Machine learning algorithms are just useful components of computer-aided diagnosis and decision support system in oncology.  ... 
doi:10.1186/s13244-019-0703-0 pmid:30830470 pmcid:PMC6399375 fatcat:tjs7aap3kjhpjk3xfgmmp3byxu

Deep Learning in Cardiology

Paschalis Bizopoulos, Dimitrios Koutsouris
2019 IEEE Reviews in Biomedical Engineering  
In this review we survey deep learning application papers that use structured data, signal and imaging modalities from cardiology.  ...  Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data.  ...  209] CNN extract coronary centerline using optimal path from computed flow field and a CNN for refinement CNN carotid intima media thickness video interpretation using two CNNs with two layers on Ultrasound  ... 
doi:10.1109/rbme.2018.2885714 fatcat:pa47trmskvflvig5cotth265q4

95. Jahrestagung der Deutschen Gesellschaft für Pathologie e. V

2011 Der Pathologe  
Image sources are DICOM modalities, creating images as DICOM SOP classes by using worklist inquiries from IS-P.  ...  Sensitivity for cardiovascular diseases increased from 69 to 92% (p=0.006), for infectious diseases from 25% to 90% (p=0.013) and for neoplastic diseases from 89 to 100% (p=0.053).  ...  Total RNA including miRNAs was extracted from all samples (total n=132) using the Qiagen miRNeasy FFPE Kit.  ... 
doi:10.1007/s00292-011-1423-5 pmid:21528439 fatcat:kyksbxi4k5ch7ff7yne7oiryfu
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