{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:49:25Z","timestamp":1763347765048},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2010,12,14]],"date-time":"2010-12-14T00:00:00Z","timestamp":1292284800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2011,12]]},"DOI":"10.1007\/s10278-010-9357-7","type":"journal-article","created":{"date-parts":[[2010,12,15]],"date-time":"2010-12-15T15:34:51Z","timestamp":1292427291000},"page":"1126-1132","source":"Crossref","is-referenced-by-count":31,"title":["Computerized Analysis of Pneumoconiosis in Digital Chest Radiography: Effect of Artificial Neural Network Trained with Power Spectra"],"prefix":"10.1007","volume":"24","author":[{"given":"Eiichiro","family":"Okumura","sequence":"first","affiliation":[]},{"given":"Ikuo","family":"Kawashita","sequence":"additional","affiliation":[]},{"given":"Takayuki","family":"Ishida","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,12,14]]},"reference":[{"issue":"1","key":"9357_CR1","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1148\/rg.261055070","volume":"26","author":"S Chong","year":"2006","unstructured":"Chong S, Lee KS, Chung MJ, Han J, Kwon OJ, Kim TS: Pneumoconiosis: comparison of imaging and pathologic finding. Radiographics 26(1):59\u201377, 2006","journal-title":"Radiographics"},{"key":"9357_CR2","volume-title":"Guidelines for the use ILO international classification of radiographs of pneumoconiosis","author":"International Labour Organization (ILO)","year":"1980","unstructured":"International Labour Organization (ILO): Guidelines for the use ILO international classification of radiographs of pneumoconiosis. ILO, Genva, 1980"},{"key":"9357_CR3","first-page":"869","volume":"49","author":"DC Muir","year":"1992","unstructured":"Muir DC, Bernholz CD, Morgan WK, Roos JO, Chan J, Maehle W, Julian JA, Sebestyen A: Classification of chest radiographs for pneumoconiosis: a comparison of two methods of reading. Br J Ind Med 49:869\u2013871, 1992","journal-title":"Br J Ind Med"},{"issue":"4","key":"9357_CR4","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1097\/00004424-197607000-00002","volume":"11","author":"AF Turner","year":"1976","unstructured":"Turner AF, Kruger RP, Thompson WB: Automated computer screening of chest radiographs for pneumoconiosis. Invest Radiol 11(4):258\u201366, 1976","journal-title":"Invest Radiol"},{"issue":"1\u20132","key":"9357_CR5","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0010-4825(75)90018-9","volume":"5","author":"RS Ledley","year":"1975","unstructured":"Ledley RS, Huang HK, Rotolo LS: A texture analysis method in classification of coal workers\u2019 pneumoconiosis. Comput Biol Med 5(1\u20132):53\u201367, 1975","journal-title":"Comput Biol Med"},{"issue":"6","key":"9357_CR6","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1109\/TBME.1975.324475","volume":"22","author":"EL Hall","year":"1975","unstructured":"Hall EL, Crawford Jr, WO, Roberts FE: Computer classification of pneumoconiosis from radiographs of coal workers. IEEE Trans Biomed Eng 22(6):518\u2013527, 1975","journal-title":"IEEE Trans Biomed Eng"},{"issue":"3","key":"9357_CR7","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1118\/1.596224","volume":"15","author":"S Katsuragawa","year":"1988","unstructured":"Katsuragawa S, Doi K, MacMahon H: Image feature analysis and computer-aided diagnosis in digital radiography: detection and characterization of interstitial lung disease in digital chest radiographs. Med Phys 15(3):311\u2013319, 1988","journal-title":"Med Phys"},{"issue":"1","key":"9357_CR8","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1118\/1.596530","volume":"17","author":"S Katsuragawa","year":"1990","unstructured":"Katsuragawa S, Doi K, Nakamori N, MacMahon H: Image feature analysis and computer-aided diagnosis in digital radiography: effect of digital parameters on the accuracy of computerized analysis of interstitial disease in digital chest radiographs. Med Phys 17(1):72\u201378, 1990","journal-title":"Med Phys"},{"issue":"2","key":"9357_CR9","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1148\/radiographics.10.2.2326513","volume":"10","author":"S Katsuragawa","year":"1990","unstructured":"Katsuragawa S, Doi K, MacMahon H, Nakamori N, Sasaki Y, Fennessy JJ: Quantitative computer-aided analysis of lung texture in chest radiographs. Radiographics 10(2):257\u2013269, 1990","journal-title":"Radiographics"},{"issue":"4","key":"9357_CR10","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1118\/1.596979","volume":"20","author":"X Chen","year":"1993","unstructured":"Chen X, Doi K, Katsuragawa S, MacMahon H: Automated selection of regions of interest for quantitative analysis of lung textures in digital chest radiographs. Med Phys 20(4):975\u2013982, 1993","journal-title":"Med Phys"},{"issue":"9","key":"9357_CR11","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1118\/1.597419","volume":"22","author":"J Morishita","year":"1995","unstructured":"Morishita J, Doi K, Katsuragawa S, Monnier-Cholley L, MacMahon H: Computer-aided diagnosis for interstitial infiltrates in chest radiographs: optical-density dependence of texture measures. Med Phys 22(9):1515\u20131522, 1995","journal-title":"Med Phys"},{"issue":"6","key":"9357_CR12","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.2214\/ajr.171.6.9843307","volume":"171","author":"L Monnier-Cholley","year":"1998","unstructured":"Monnier-Cholley L, MacMahon H, Katsuragawa S, Morishita J, Ishida T, Doi K: Computer-aided diagnosis for detection of interstitial opacities on chest radiographs: Evaluation by means of ROC analysis. AJR Am J Roentgenol 171(6):1651\u20131656, 1998","journal-title":"AJR Am J Roentgenol"},{"issue":"3","key":"9357_CR13","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/BF03168609","volume":"9","author":"S Katsuragawa","year":"1996","unstructured":"Katsuragawa S, Doi K, MacMahon H, Monnier-Cholley L, Morishita J, Ishida T: Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs: preliminary results. J Digit Imaging 9(3):137\u2013144, 1996","journal-title":"J Digit Imaging"},{"key":"9357_CR14","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1118\/1.598012","volume":"24","author":"T Ishida","year":"1997","unstructured":"Ishida T, Katsuragawa S, Kobayashi T, MacMahon H, Doi K: Computerized analysis of interstitial disease in chest radiographs: Improvement of geometric-pattern feature analysis. Med Phys 24:915\u2013924, 1997","journal-title":"Med Phys"},{"issue":"3","key":"9357_CR15","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1007\/BF03168597","volume":"10","author":"S Katsuragawa","year":"1997","unstructured":"Katsuragawa S, Doi K, MacMahon M, Monnier-Cholley L, Ishida T, Kobayashi T: Classification of normal and abnormal lung with interstitial disease by rule-based method and artificial neural networks. J Digit Imaging 10(3):108\u2013114, 1997","journal-title":"J Digit Imaging"},{"key":"9357_CR16","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.acra.2006.09.057","volume":"14","author":"J Shiraishi","year":"2007","unstructured":"Shiraishi J, Li F, Doi K: Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs. Acad Radiol 14:28\u201337, 2007","journal-title":"Acad Radiol"},{"key":"9357_CR17","doi-asserted-by":"crossref","first-page":"2642","DOI":"10.1118\/1.2208739","volume":"33","author":"J Shiraishi","year":"2006","unstructured":"Shiraishi J, Li Q, Suzuki K, Engelmann R, Doi K: Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification. Med Phys 33:2642\u20132653, 2006","journal-title":"Med Phys"},{"key":"9357_CR18","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1118\/1.1580485","volume":"30","author":"K Suzuki","year":"2003","unstructured":"Suzuki K, Armato SG, Li F, Sone S, Doi K: Massive training artificial neural network (MTANN) for reduction of false positive in computerized detection of lung nodules in low-dose computed tomography. Med Phys 30:1602\u20131617, 2003","journal-title":"Med Phys"},{"key":"9357_CR19","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.acra.2004.11.017","volume":"12","author":"K Suzuki","year":"2005","unstructured":"Suzuki K, Shiraishi J, Abe H, MacMahon H, Doi K: False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network. Acad Radiol 12:191\u2013201, 2005","journal-title":"Acad Radiol"},{"key":"9357_CR20","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1016\/j.acra.2005.06.017","volume":"12","author":"K Suzuki","year":"2005","unstructured":"Suzuki K, Doi K: How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT? Acad Radiol 12:1333\u20131341, 2005","journal-title":"Acad Radiol"},{"key":"9357_CR21","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1148\/radiology.214.3.r00mr22823","volume":"214","author":"K Nakamura","year":"2000","unstructured":"Nakamura K, Yoshida H, Engelmann R, MacMahon H, Katsuragawa S, Ishida T, Ashizawa K, Doi K: Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks. Radiology 214:823\u2013830, 2000","journal-title":"Radiology"},{"issue":"5","key":"9357_CR22","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1118\/1.1469630","volume":"29","author":"M Aoyama","year":"2002","unstructured":"Aoyama M, Li Q, Katsuragawa S, MacMahon H, Doi K: Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images. Med Phys 29(5):701\u2013708, 2002","journal-title":"Med Phys"},{"key":"9357_CR23","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1109\/TMI.2005.852048","volume":"24","author":"K Suzuki","year":"2005","unstructured":"Suzuki K, Li F, Sone S, Doi K: Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Trans Med Imaging 24:1138\u20131150, 2005","journal-title":"IEEE Trans Med Imaging"},{"issue":"3","key":"9357_CR24","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1118\/1.596845","volume":"19","author":"Y Wu","year":"1992","unstructured":"Wu Y, Doi K, Giger ML, Hikawa RM: Computerized detection of clustered microcalcifications in digital mammograms: Applications of artificial neural networks. Med Phys 19(3):555\u2013560, 1992","journal-title":"Med Phys"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-010-9357-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-010-9357-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-010-9357-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T12:01:47Z","timestamp":1559131307000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-010-9357-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,12,14]]},"references-count":24,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2011,12]]}},"alternative-id":["9357"],"URL":"https:\/\/doi.org\/10.1007\/s10278-010-9357-7","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,12,14]]}}}