Matches in SemOpenAlex for { <https://semopenalex.org/work/W4300070118> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W4300070118 endingPage "155" @default.
- W4300070118 startingPage "145" @default.
- W4300070118 abstract "Image processing, a branch of computer science, has grown exponentially over the years. It is a collection of computational techniques for analyzing, enhancing, compressing, and reconstructing images. Medical images are specialized images used for specific purposes. Each medical image dataset may need a image processing technique to enhance and extract a feature, specific for a particular diagnosis. Here Datasets of 4–16–year-olds comprising of (orthopantomograms) OPG images is utilized to identify tooth stage. Using a hybrid of two feature extraction techniques, a challenge linked to identifying developmental stages of the tooth was successfully solved. KNN and SVM classifiers were compared using feature extraction to identify the stage of tooth development. In this research work, 97.14% of accuracy in identifying the stage of the tooth development was achieved using SVM classifier. Estimating the age using this hybrid feature extraction and SVM classifier achieved more than 90% accuracy." @default.
- W4300070118 created "2022-10-03" @default.
- W4300070118 creator A5002313548 @default.
- W4300070118 creator A5047385114 @default.
- W4300070118 date "2022-01-01" @default.
- W4300070118 modified "2023-09-27" @default.
- W4300070118 title "Age Estimation in Digital Radiograph Using HOG and DWT Feature Extraction" @default.
- W4300070118 cites W1946359229 @default.
- W4300070118 cites W2103522741 @default.
- W4300070118 cites W2138593938 @default.
- W4300070118 cites W2146097215 @default.
- W4300070118 cites W2148864830 @default.
- W4300070118 cites W2586521908 @default.
- W4300070118 cites W2587540369 @default.
- W4300070118 cites W2604795174 @default.
- W4300070118 cites W2783350952 @default.
- W4300070118 cites W2800080817 @default.
- W4300070118 cites W2801973746 @default.
- W4300070118 cites W2804600710 @default.
- W4300070118 cites W2916976239 @default.
- W4300070118 cites W2984607063 @default.
- W4300070118 cites W3034220147 @default.
- W4300070118 cites W3058437195 @default.
- W4300070118 doi "https://doi.org/10.1007/978-981-19-1324-2_16" @default.
- W4300070118 hasPublicationYear "2022" @default.
- W4300070118 type Work @default.
- W4300070118 citedByCount "0" @default.
- W4300070118 crossrefType "book-chapter" @default.
- W4300070118 hasAuthorship W4300070118A5002313548 @default.
- W4300070118 hasAuthorship W4300070118A5047385114 @default.
- W4300070118 hasConcept C12267149 @default.
- W4300070118 hasConcept C138885662 @default.
- W4300070118 hasConcept C153180895 @default.
- W4300070118 hasConcept C154945302 @default.
- W4300070118 hasConcept C2776401178 @default.
- W4300070118 hasConcept C31972630 @default.
- W4300070118 hasConcept C41008148 @default.
- W4300070118 hasConcept C41895202 @default.
- W4300070118 hasConcept C52622490 @default.
- W4300070118 hasConcept C95623464 @default.
- W4300070118 hasConceptScore W4300070118C12267149 @default.
- W4300070118 hasConceptScore W4300070118C138885662 @default.
- W4300070118 hasConceptScore W4300070118C153180895 @default.
- W4300070118 hasConceptScore W4300070118C154945302 @default.
- W4300070118 hasConceptScore W4300070118C2776401178 @default.
- W4300070118 hasConceptScore W4300070118C31972630 @default.
- W4300070118 hasConceptScore W4300070118C41008148 @default.
- W4300070118 hasConceptScore W4300070118C41895202 @default.
- W4300070118 hasConceptScore W4300070118C52622490 @default.
- W4300070118 hasConceptScore W4300070118C95623464 @default.
- W4300070118 hasLocation W43000701181 @default.
- W4300070118 hasOpenAccess W4300070118 @default.
- W4300070118 hasPrimaryLocation W43000701181 @default.
- W4300070118 hasRelatedWork W2041636156 @default.
- W4300070118 hasRelatedWork W2120008580 @default.
- W4300070118 hasRelatedWork W2126100045 @default.
- W4300070118 hasRelatedWork W2160451891 @default.
- W4300070118 hasRelatedWork W2336974148 @default.
- W4300070118 hasRelatedWork W2381773606 @default.
- W4300070118 hasRelatedWork W4225360039 @default.
- W4300070118 hasRelatedWork W4242764575 @default.
- W4300070118 hasRelatedWork W2187500075 @default.
- W4300070118 hasRelatedWork W2345184372 @default.
- W4300070118 isParatext "false" @default.
- W4300070118 isRetracted "false" @default.
- W4300070118 workType "book-chapter" @default.