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Informatics and Computerized Tomography Aiding Detection and Diagnosis of Solitary Lung Cancer [chapter]

Aristfanes Corra, Anselmo Cardoso, Rodolfo Acatauassu, Marcelo Gattass
2011 Theory and Applications of CT Imaging and Analysis  
This index has not been used in applications of analysis of medical images in order to diagnose. The last step is the classification of the nodules as either benign or malignant by a One-Class SVM.  ...  A library for SVM, called LIBSVM (Chang & Lin, 2003) , was used for training and testing the One-Class SVM classifier (Schölkopf et al., 2001) .  ... 
doi:10.5772/14511 fatcat:u5zwvls3fze7vdnno72iu2x52y

An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images

Xinqi Wang, Keming Mao, Lizhe Wang, Peiyi Yang, Duo Lu, Ping He
2019 Sensors  
Modern computer vision and machine learning technologies allow very fast and reliable CT image classification. This research area has become very hot for its high efficiency and labor saving.  ...  Our work reveals that lung nodule classification based on deep learning becomes dominant for its excellent performance.  ...  The nodule was represented by the Simposon's Index, combined with 3D geometrical features (spherical disproportion, spherical density, and sphericity). One-Class SVM was trained.  ... 
doi:10.3390/s19010194 fatcat:l22h2tvy6fhkxmjidrvci3dq3i


2013 Clinical and translational imaging  
In 9 patients SPECT/CT was positive for relapse (MIBI uptake index > 2) and in 7 there was no uptake or an uptake index less than 2, judged as radionecrosis.  ...  (3 undergoing staging and 6 undergoing restaging) and 3 with brain metastasis (2 lung carcinomas and one breast cancer).  ...  The features extracted using the two tested methods were fed into a support vector machine classifier (SVM); SVM is a powerful supervised classification algorithm based on ground-truth training data able  ... 
doi:10.1007/s40336-013-0002-6 fatcat:jfrptu6wuvhjvfss4iobwqfk2q

2021 AIUM Award Winners

2021 Journal of ultrasound in medicine  
the CAS as the gold standard for each class using the areaunder-the-curve (AUC) and classification accuracy.  ...  SVM produced hyperplanes to differentiate the liver conditions with 100% of classification accuracy.  ...  The first meeting included a didactic session on lung ultrasound followed by a journal club discussion on ultrasound in the management of COVID-19.  ... 
doi:10.1002/jum.15752 fatcat:v4nx5fvjwndrzfppaiaylgon64

2012 American College of Cardiology Foundation/Society for Cardiovascular Angiography and Interventions Expert Consensus Document on Cardiac Catheterization Laboratory Standards Update

Thomas M. Bashore, Stephen Balter, Ana Barac, John G. Byrne, Jeffrey J. Cavendish, Charles E. Chambers, James Bernard Hermiller, Scott Kinlay, Joel S. Landzberg, Warren K. Laskey, Charles R. McKay, Julie M. Miller (+5 others)
2012 Journal of the American College of Cardiology  
the potential use of alternative imaging modalities (i.e., CT or magnetic resonance imaging [MRI]) should be considered if clinically important.  ...  These imaging data may supplement or complement other common imaging modalities such as echocardiography, CT angiography, and MRI.  ...  ء‬Recused from writing initial text and voting on document recommendations due to relevant relationships with industry to this document. †Significant relationship.  ... 
doi:10.1016/j.jacc.2012.02.010 pmid:22575325 fatcat:t7ah6tvoungcxm7bmmj7o3odna