{"corpus_id":7433732,"paper_sha":"17af9bc687626c41566715b0923c9d71b90207cf","doi":"10.3348/kjr.2011.12.2.145","arxiv_id":null,"pmid":21430930,"pmcid":"3052604","mag_id":2153916463,"dblp_id":null,"acl_id":null,"title":"A Computer-Aided Diagnosis for Evaluating Lung Nodules on Chest CT: the Current Status and Perspective","year":2011,"publication_date":"2011-03-03","venue":"Korean Journal of Radiology","journal":{"name":"Korean Journal of Radiology","pages":"145 - 155","volume":"12"},"journal_issn":null,"journal_title":null,"publication_types":["Review","JournalArticle"],"pubmed_pub_types":["Journal Article","Research Support, Non-U.S. Gov't","Review"],"s2_fields_of_study":["Medicine","Computer Science"],"reference_count":64,"citation_count":81,"influential_citation_count":2,"is_open_access":true,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":[{"d":"Clinical Trials as Topic","mj":false,"ui":"D002986"},{"d":"Diagnosis, Computer-Assisted","mj":true,"ui":"D003936"},{"d":"Diagnosis, Differential","mj":false,"ui":"D003937"},{"d":"Humans","mj":false,"ui":"D006801"},{"d":"Lung Neoplasms","mj":false,"qs":[{"q":"diagnostic imaging","mj":true,"ui":"Q000000981"},{"q":"pathology","mj":false,"ui":"Q000473"}],"ui":"D008175"},{"d":"Predictive Value of Tests","mj":false,"ui":"D011237"},{"d":"Radiographic Image Interpretation, Computer-Assisted","mj":false,"ui":"D011857"},{"d":"Radiography, Thoracic","mj":false,"ui":"D013902"},{"d":"Sensitivity and Specificity","mj":false,"ui":"D012680"},{"d":"Solitary Pulmonary Nodule","mj":false,"qs":[{"q":"diagnostic imaging","mj":true,"ui":"Q000000981"},{"q":"pathology","mj":false,"ui":"Q000473"}],"ui":"D003074"},{"d":"Tomography, X-Ray Computed","mj":true,"ui":"D014057"}],"chemicals":null,"comments_corrections":null,"source_flags":5,"s2_open_access_pdf_url":"http://synapse.koreamed.org/Synapse/Data/PDFData/0068KJR/kjr-12-145.pdf","s2_open_access_landing_url":"https://www.semanticscholar.org/paper/17af9bc687626c41566715b0923c9d71b90207cf","s2_open_access_license":"CCBYNC","s2_open_access_status":"HYBRID","pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"As the detection and characterization of lung nodules are of paramount importance in thoracic radiology, various tools for making a computer-aided diagnosis (CAD) have been developed to improve the diagnostic performance of radiologists in clinical practice. 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