Matches in SemOpenAlex for { <https://semopenalex.org/work/W254432004> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W254432004 abstract "Automatic pulmonary nodule detection in computed tomography (CT) images has been a challenging problem in computer aided diagnosis (CAD). Most recent recognition methods based on support vector machines (SVMs) have shown difficulty in achieving balanced sensitivity and accuracy. To improve overall performance of SVM based pulmonary nodule detection, a mixed kernel SVM method is proposed for recognizing pulmonary nodules in CT images by combining both Gaussian and polynomial kernel functions. The proposed mixed kernel SVM, together with a grid search for parameters optimization, can be tuned to seek a balance between sensitivity and accuracy so as to meet the CADs need, and eventually to improve learning and generalization ability of the SVM at the same time. In our experiments, thirteen features were extracted from the candidate regions of interest (ROIs) preprocessed from a set of real CT samples, and the mixed kernel SVM was trained to recognize the nodules in the ROIs. The results show that the proposed method takes into account both the sensitivity and accuracy compared to single kernel SVMs. The sensitivity and accuracy of the proposed method achieve 92.59% and 92% respectively." @default.
- W254432004 created "2016-06-24" @default.
- W254432004 creator A5018764924 @default.
- W254432004 creator A5046608485 @default.
- W254432004 creator A5064266389 @default.
- W254432004 creator A5073259786 @default.
- W254432004 date "2013-01-01" @default.
- W254432004 modified "2023-10-01" @default.
- W254432004 title "Mixed Kernel Function SVM for Pulmonary Nodule Recognition" @default.
- W254432004 cites W1971997700 @default.
- W254432004 cites W1983892250 @default.
- W254432004 cites W2056346379 @default.
- W254432004 cites W2071717081 @default.
- W254432004 cites W2112915739 @default.
- W254432004 cites W2118286367 @default.
- W254432004 cites W2141057577 @default.
- W254432004 cites W2153635508 @default.
- W254432004 cites W2331064364 @default.
- W254432004 doi "https://doi.org/10.1007/978-3-642-41184-7_46" @default.
- W254432004 hasPublicationYear "2013" @default.
- W254432004 type Work @default.
- W254432004 sameAs 254432004 @default.
- W254432004 citedByCount "5" @default.
- W254432004 countsByYear W2544320042015 @default.
- W254432004 countsByYear W2544320042018 @default.
- W254432004 countsByYear W2544320042021 @default.
- W254432004 countsByYear W2544320042022 @default.
- W254432004 crossrefType "book-chapter" @default.
- W254432004 hasAuthorship W254432004A5018764924 @default.
- W254432004 hasAuthorship W254432004A5046608485 @default.
- W254432004 hasAuthorship W254432004A5064266389 @default.
- W254432004 hasAuthorship W254432004A5073259786 @default.
- W254432004 hasBestOaLocation W2544320041 @default.
- W254432004 hasConcept C10485038 @default.
- W254432004 hasConcept C114614502 @default.
- W254432004 hasConcept C121332964 @default.
- W254432004 hasConcept C122280245 @default.
- W254432004 hasConcept C12267149 @default.
- W254432004 hasConcept C127413603 @default.
- W254432004 hasConcept C134306372 @default.
- W254432004 hasConcept C153180895 @default.
- W254432004 hasConcept C154945302 @default.
- W254432004 hasConcept C160446489 @default.
- W254432004 hasConcept C163716315 @default.
- W254432004 hasConcept C177148314 @default.
- W254432004 hasConcept C21200559 @default.
- W254432004 hasConcept C24326235 @default.
- W254432004 hasConcept C33923547 @default.
- W254432004 hasConcept C41008148 @default.
- W254432004 hasConcept C62520636 @default.
- W254432004 hasConcept C7218915 @default.
- W254432004 hasConcept C74193536 @default.
- W254432004 hasConcept C75866337 @default.
- W254432004 hasConceptScore W254432004C10485038 @default.
- W254432004 hasConceptScore W254432004C114614502 @default.
- W254432004 hasConceptScore W254432004C121332964 @default.
- W254432004 hasConceptScore W254432004C122280245 @default.
- W254432004 hasConceptScore W254432004C12267149 @default.
- W254432004 hasConceptScore W254432004C127413603 @default.
- W254432004 hasConceptScore W254432004C134306372 @default.
- W254432004 hasConceptScore W254432004C153180895 @default.
- W254432004 hasConceptScore W254432004C154945302 @default.
- W254432004 hasConceptScore W254432004C160446489 @default.
- W254432004 hasConceptScore W254432004C163716315 @default.
- W254432004 hasConceptScore W254432004C177148314 @default.
- W254432004 hasConceptScore W254432004C21200559 @default.
- W254432004 hasConceptScore W254432004C24326235 @default.
- W254432004 hasConceptScore W254432004C33923547 @default.
- W254432004 hasConceptScore W254432004C41008148 @default.
- W254432004 hasConceptScore W254432004C62520636 @default.
- W254432004 hasConceptScore W254432004C7218915 @default.
- W254432004 hasConceptScore W254432004C74193536 @default.
- W254432004 hasConceptScore W254432004C75866337 @default.
- W254432004 hasLocation W2544320041 @default.
- W254432004 hasOpenAccess W254432004 @default.
- W254432004 hasPrimaryLocation W2544320041 @default.
- W254432004 hasRelatedWork W1973066401 @default.
- W254432004 hasRelatedWork W2018060680 @default.
- W254432004 hasRelatedWork W2067150211 @default.
- W254432004 hasRelatedWork W2329489769 @default.
- W254432004 hasRelatedWork W2330651710 @default.
- W254432004 hasRelatedWork W2359059538 @default.
- W254432004 hasRelatedWork W2363238405 @default.
- W254432004 hasRelatedWork W2509288123 @default.
- W254432004 hasRelatedWork W2520657381 @default.
- W254432004 hasRelatedWork W2587234749 @default.
- W254432004 hasRelatedWork W2597091454 @default.
- W254432004 hasRelatedWork W2616688999 @default.
- W254432004 hasRelatedWork W2755564604 @default.
- W254432004 hasRelatedWork W2765931871 @default.
- W254432004 hasRelatedWork W2819226615 @default.
- W254432004 hasRelatedWork W2891321932 @default.
- W254432004 hasRelatedWork W2903863295 @default.
- W254432004 hasRelatedWork W3003839170 @default.
- W254432004 hasRelatedWork W3014485265 @default.
- W254432004 hasRelatedWork W3087915906 @default.
- W254432004 isParatext "false" @default.
- W254432004 isRetracted "false" @default.
- W254432004 magId "254432004" @default.
- W254432004 workType "book-chapter" @default.