About: A Computer-Aided Detection System for Digital Chest Radiographs

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A Computer-Aided Detection System for Digital Chest Radiographs
Creator	García-Mateos, Ginés Carrillo-De-Gea, Juan Luis Fernández-Alemán, José Luis Hernández-Hernández, José
Source	PMC
abstract	Computer-aided detection systems aim at the automatic detection of diseases using different medical imaging modalities. In this paper, a novel approach to detecting normality/pathology in digital chest radiographs is proposed. The problem tackled is complicated since it is not focused on particular diseases but anything that differs from what is considered as normality. First, the areas of interest of the chest are found using template matching on the images. Then, a texture descriptor called local binary patterns (LBP) is computed for those areas. After that, LBP histograms are applied in a classifier algorithm, which produces the final normality/pathology decision. Our experimental results show the feasibility of the proposal, with success rates above 87% in the best cases. Moreover, our technique is able to locate the possible areas of pathology in nonnormal radiographs. Strengths and limitations of the proposed approach are described in the Conclusions.
has issue date	2016-05-31(xsd:dateTime)
bibo:doi	10.1155/2016/8208923
bibo:pmid	27372536
has license	cc-by
sha1sum (hex)	047a76d5e047a00728847bcdd162cb925486d0ab
schema:url	https://doi.org/10.1155/2016/8208923
resource representing a document's title	A Computer-Aided Detection System for Digital Chest Radiographs
has PubMed Central identifier	PMC5058572
has PubMed identifier	27372536
schema:publication	J Healthc Eng
resource representing a document's body	covid:047a76d5e047a00728847bcdd162cb925486d0ab#body_text
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