Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204235135> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W3204235135 abstract "Brain tumor consists of malignant cells that harm brain, and hence its diagnosis and treatment are required for human wellness. In computer vision, tumor detection algorithms have been developed for identifying the tumor cells from normal brain cells. This work proposed a magnetic resonance image segmentation-based classification model for brain tumor detection. Training data for Convolutional Neural Network (CNN) was obtained from Intelligent Water Drop (IWD) genetic algorithm. IWD provides segmented cluster center pixel values of MRI image. Image was segmented as per cluster center pixels and blocked for training by CNN. Classification process was performed by CNN. Experiment was done on real brain tumor dataset. This model was compared with FCM clustering algorithm with rough set where obtained accuracy was 92.57%. Obtained accuracy of proposed model is 95.24% and hence result shows that proposed IWDCNN model has increased the pixel segmentation-based classification accuracy. Evaluated average values of some other metrics are precision = 0.971486, recall = 0.979, and F-measure = 0.975." @default.
- W3204235135 created "2021-10-11" @default.
- W3204235135 creator A5041244985 @default.
- W3204235135 creator A5082192659 @default.
- W3204235135 date "2021-01-01" @default.
- W3204235135 modified "2023-10-16" @default.
- W3204235135 title "A Novel Approach for Identification of Brain Tumor by Combination of Intelligent Water Drop Algorithm and Convolutional Neural Network" @default.
- W3204235135 cites W1551838059 @default.
- W3204235135 cites W2085420208 @default.
- W3204235135 cites W2594020746 @default.
- W3204235135 cites W2740715668 @default.
- W3204235135 cites W2790009831 @default.
- W3204235135 cites W2798401174 @default.
- W3204235135 cites W2896455539 @default.
- W3204235135 cites W2909032019 @default.
- W3204235135 cites W2910854613 @default.
- W3204235135 cites W2963803174 @default.
- W3204235135 cites W2998623084 @default.
- W3204235135 cites W3097694836 @default.
- W3204235135 cites W3119421306 @default.
- W3204235135 doi "https://doi.org/10.1007/978-981-16-3915-9_19" @default.
- W3204235135 hasPublicationYear "2021" @default.
- W3204235135 type Work @default.
- W3204235135 sameAs 3204235135 @default.
- W3204235135 citedByCount "0" @default.
- W3204235135 crossrefType "book-chapter" @default.
- W3204235135 hasAuthorship W3204235135A5041244985 @default.
- W3204235135 hasAuthorship W3204235135A5082192659 @default.
- W3204235135 hasConcept C11413529 @default.
- W3204235135 hasConcept C124504099 @default.
- W3204235135 hasConcept C142724271 @default.
- W3204235135 hasConcept C153180895 @default.
- W3204235135 hasConcept C154945302 @default.
- W3204235135 hasConcept C160633673 @default.
- W3204235135 hasConcept C2779130545 @default.
- W3204235135 hasConcept C41008148 @default.
- W3204235135 hasConcept C50644808 @default.
- W3204235135 hasConcept C71924100 @default.
- W3204235135 hasConcept C73555534 @default.
- W3204235135 hasConcept C81363708 @default.
- W3204235135 hasConcept C89600930 @default.
- W3204235135 hasConceptScore W3204235135C11413529 @default.
- W3204235135 hasConceptScore W3204235135C124504099 @default.
- W3204235135 hasConceptScore W3204235135C142724271 @default.
- W3204235135 hasConceptScore W3204235135C153180895 @default.
- W3204235135 hasConceptScore W3204235135C154945302 @default.
- W3204235135 hasConceptScore W3204235135C160633673 @default.
- W3204235135 hasConceptScore W3204235135C2779130545 @default.
- W3204235135 hasConceptScore W3204235135C41008148 @default.
- W3204235135 hasConceptScore W3204235135C50644808 @default.
- W3204235135 hasConceptScore W3204235135C71924100 @default.
- W3204235135 hasConceptScore W3204235135C73555534 @default.
- W3204235135 hasConceptScore W3204235135C81363708 @default.
- W3204235135 hasConceptScore W3204235135C89600930 @default.
- W3204235135 hasLocation W32042351351 @default.
- W3204235135 hasOpenAccess W3204235135 @default.
- W3204235135 hasPrimaryLocation W32042351351 @default.
- W3204235135 hasRelatedWork W1213213 @default.
- W3204235135 hasRelatedWork W12703013 @default.
- W3204235135 hasRelatedWork W13523948 @default.
- W3204235135 hasRelatedWork W14369711 @default.
- W3204235135 hasRelatedWork W14612285 @default.
- W3204235135 hasRelatedWork W14725152 @default.
- W3204235135 hasRelatedWork W14955712 @default.
- W3204235135 hasRelatedWork W4608154 @default.
- W3204235135 hasRelatedWork W6792081 @default.
- W3204235135 hasRelatedWork W8813607 @default.
- W3204235135 isParatext "false" @default.
- W3204235135 isRetracted "false" @default.
- W3204235135 magId "3204235135" @default.
- W3204235135 workType "book-chapter" @default.