Automatic detection of cranial fractures in radiological images using a pattern classifier
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad de Antioquia
2011
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| _version_ | 1876483759091482624 |
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| author | Itzamá López Yáñez |
| author_facet | Itzamá López Yáñez |
| contents | Automatic detection of cranial fractures in radiological images using a pattern classifier Itzamá López Yáñez Rolando Flores Carapia Cornelio Yáñez Márquez Oscar Camacho Nieto Ingeniería alpha Cranial fractures radiographic images pattern classification beta associative models In this work, an automatic pattern classification system is presented, whose goal is detecting the presence or absence of fractures in cranial radiographic images. The basis for the proposal is an original coding technique, coupled with an emerging pattern classifier: the Gamma classifier. This proposal draws concepts from three areas of current scientific research: Mathematical Morphology, image histograms, and Alpha-Beta associative models. Also, an experimental study is presented, comparing the performance shown by the system to that exhibited by other pattern classifiers present in current scientific literature. The results obtained are competitive, reaching 94.23% of correct classification. 2011 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43023590004 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.61 |
| format | Artículo científico |
| id | redalyc_43023590004 |
| institution | Redalyc |
| language | en |
| publishDate | 2011 |
| publisher | Universidad de Antioquia |
| spellingShingle | Automatic detection of cranial fractures in radiological images using a pattern classifier Itzamá López Yáñez Ingeniería alpha Cranial fractures radiographic images pattern classification beta associative models Automatic detection of cranial fractures in radiological images using a pattern classifier Itzamá López Yáñez Rolando Flores Carapia Cornelio Yáñez Márquez Oscar Camacho Nieto Ingeniería alpha Cranial fractures radiographic images pattern classification beta associative models In this work, an automatic pattern classification system is presented, whose goal is detecting the presence or absence of fractures in cranial radiographic images. The basis for the proposal is an original coding technique, coupled with an emerging pattern classifier: the Gamma classifier. This proposal draws concepts from three areas of current scientific research: Mathematical Morphology, image histograms, and Alpha-Beta associative models. Also, an experimental study is presented, comparing the performance shown by the system to that exhibited by other pattern classifiers present in current scientific literature. The results obtained are competitive, reaching 94.23% of correct classification. 2011 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43023590004 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.61 |
| title | Automatic detection of cranial fractures in radiological images using a pattern classifier |
| topic | Ingeniería alpha Cranial fractures radiographic images pattern classification beta associative models |
| url | https://www.redalyc.org/articulo.oa?id=43023590004 |