Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092183537> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2092183537 abstract "Cancer is a leading cause of death worldwide. Lung cancer is a type of cancer that is considered as one of the most leading causes of death globally. In Malaysia, it is the 3rd common cancer type and the 2nd type of cancer among men. In this paper, machine learning techniques have been utilized to develop a computer-aided diagnosis system for lung cancer. The system consists of feature extraction phase, feature selection phase and classification phase. For feature extraction/selection, different wavelets functions have been applied in order to find the one that produced the highest accuracy. Clustering-K-nearest-neighbor algorithm has been developed/utilized for classification. Japanese Society of Radiological Technology's standard dataset of lung cancer has been used to test the system. The data set has 154 nodule regions (abnormal) and 92 non-nodule regions (normal). Accuracy levels of over 96% for classification have been achieved which demonstrate the merits of the proposed approach." @default.
- W2092183537 created "2016-06-24" @default.
- W2092183537 creator A5008481065 @default.
- W2092183537 creator A5029126771 @default.
- W2092183537 creator A5053691175 @default.
- W2092183537 creator A5057724970 @default.
- W2092183537 date "2012-06-01" @default.
- W2092183537 modified "2023-09-26" @default.
- W2092183537 title "Computer aided diagnosis system based on machine learning techniques for lung cancer" @default.
- W2092183537 cites W1974144579 @default.
- W2092183537 cites W1994967594 @default.
- W2092183537 cites W2023753684 @default.
- W2092183537 cites W2063598448 @default.
- W2092183537 cites W2066720700 @default.
- W2092183537 cites W2101771332 @default.
- W2092183537 cites W2103280265 @default.
- W2092183537 cites W2142514727 @default.
- W2092183537 cites W2153916463 @default.
- W2092183537 cites W2166249949 @default.
- W2092183537 doi "https://doi.org/10.1109/iccisci.2012.6297257" @default.
- W2092183537 hasPublicationYear "2012" @default.
- W2092183537 type Work @default.
- W2092183537 sameAs 2092183537 @default.
- W2092183537 citedByCount "10" @default.
- W2092183537 countsByYear W20921835372014 @default.
- W2092183537 countsByYear W20921835372015 @default.
- W2092183537 countsByYear W20921835372016 @default.
- W2092183537 countsByYear W20921835372018 @default.
- W2092183537 countsByYear W20921835372021 @default.
- W2092183537 countsByYear W20921835372023 @default.
- W2092183537 crossrefType "proceedings-article" @default.
- W2092183537 hasAuthorship W2092183537A5008481065 @default.
- W2092183537 hasAuthorship W2092183537A5029126771 @default.
- W2092183537 hasAuthorship W2092183537A5053691175 @default.
- W2092183537 hasAuthorship W2092183537A5057724970 @default.
- W2092183537 hasConcept C119857082 @default.
- W2092183537 hasConcept C121608353 @default.
- W2092183537 hasConcept C126322002 @default.
- W2092183537 hasConcept C138885662 @default.
- W2092183537 hasConcept C142724271 @default.
- W2092183537 hasConcept C148483581 @default.
- W2092183537 hasConcept C153180895 @default.
- W2092183537 hasConcept C154945302 @default.
- W2092183537 hasConcept C2776256026 @default.
- W2092183537 hasConcept C2776401178 @default.
- W2092183537 hasConcept C41008148 @default.
- W2092183537 hasConcept C41895202 @default.
- W2092183537 hasConcept C47432892 @default.
- W2092183537 hasConcept C52622490 @default.
- W2092183537 hasConcept C71924100 @default.
- W2092183537 hasConcept C73555534 @default.
- W2092183537 hasConceptScore W2092183537C119857082 @default.
- W2092183537 hasConceptScore W2092183537C121608353 @default.
- W2092183537 hasConceptScore W2092183537C126322002 @default.
- W2092183537 hasConceptScore W2092183537C138885662 @default.
- W2092183537 hasConceptScore W2092183537C142724271 @default.
- W2092183537 hasConceptScore W2092183537C148483581 @default.
- W2092183537 hasConceptScore W2092183537C153180895 @default.
- W2092183537 hasConceptScore W2092183537C154945302 @default.
- W2092183537 hasConceptScore W2092183537C2776256026 @default.
- W2092183537 hasConceptScore W2092183537C2776401178 @default.
- W2092183537 hasConceptScore W2092183537C41008148 @default.
- W2092183537 hasConceptScore W2092183537C41895202 @default.
- W2092183537 hasConceptScore W2092183537C47432892 @default.
- W2092183537 hasConceptScore W2092183537C52622490 @default.
- W2092183537 hasConceptScore W2092183537C71924100 @default.
- W2092183537 hasConceptScore W2092183537C73555534 @default.
- W2092183537 hasLocation W20921835371 @default.
- W2092183537 hasOpenAccess W2092183537 @default.
- W2092183537 hasPrimaryLocation W20921835371 @default.
- W2092183537 hasRelatedWork W2016461833 @default.
- W2092183537 hasRelatedWork W2133581097 @default.
- W2092183537 hasRelatedWork W2185970706 @default.
- W2092183537 hasRelatedWork W2314710578 @default.
- W2092183537 hasRelatedWork W2515280043 @default.
- W2092183537 hasRelatedWork W2546942002 @default.
- W2092183537 hasRelatedWork W2592385986 @default.
- W2092183537 hasRelatedWork W2894871804 @default.
- W2092183537 hasRelatedWork W3185455591 @default.
- W2092183537 hasRelatedWork W2345184372 @default.
- W2092183537 isParatext "false" @default.
- W2092183537 isRetracted "false" @default.
- W2092183537 magId "2092183537" @default.
- W2092183537 workType "article" @default.