1Doi K. Overview on research and development of computer-aided diagnostic schemes. Semin Ultrasound CT MR,2004,25:404-410.
2Zheng B, Shah R, Wallace L, et aL Computer-aided detection in mammography: an assessment of performance on current and prior images. Acad Radiol,2002,9 : 1245-1250.
3Jiang Y, Nishikawa RM, Schmidt RA, et al. Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Acad Radiol, 2006,13:534-535.
5Sakai S, Soeda H, Takahashi N, et al. Computer-aided nodule detection on digital chest radiography : validation test on consecutive T1 cases of resectable lung cancer. J Digit Imaging, 2006,19:376-382.
6Suzuki K, Shiraishi J, Abe H, et al. False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network. Acad Radiol,2005 , 12 : 191-201.
7Morishita J, Doi K, Katsuraqawa S, et al. Computer-aided diagnosis for interstitial infiltrates in chest radiographs: opticaldensity dependence of texture measures, Med Phys, 1995,22: 1515-1522.
8Ashizawa K, Ishida T, MacMahon H, et al. Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease. Acad Radiol,1999 ,6 :2-9.
9Ashizawa K,MacMahon H,Ishida T, et al. Effect of an artificial neural network on radiologists 'pedormanee in the differential diagnosis of interstitial lung disease using chest radiographs. A JR, 1999,172 : 1311-1315.
10Matsuki Y, Nakamura K, Watanabe H, et al. Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis. A JR ,2002,178:657-663.
二级参考文献11
1Doi K, MacMahon H, Katsuragawa S, et al. Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol, 1999, 31:97-109.
2Stephen HT, Laura EL, Karla K, et al. Concordance of breast imaging reporting and data system assessments and management recommendations in screening mammography. Radiology, 2002, 222:529-535.
3Freer TW, Ulissey MJ. Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. Radiology, 2001, 220:781-786.
4Burhenne LJW, Wood SA, D′Orsi CJ, et al. Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiology, 2000, 215:554-562.
5Petrick N, Sahiner B, Chan HP, et al. Breast cancer detection: evaluation of a mass-detection algorithm for computer-aided diagnosis-experience in 263 patients. Radiology, 2002, 224:217-224.
6Huo Z, Giger ML, Vyborny CJ, et al. Breast cancer: effectiveness of computer-aided diagnosis-observer study with independent database of mammograms. Radiology, 2002, 224:560-568.
7Feig S, D′Orsi C, Hendrick R, et al. American College of Radiology guidelines for breast cancer screening. AJR Am J Roentgenol, 1998, 171:29-33.
8Leitch A, Dodd G, Costanza M, et al. American Cancer Society guidelines for the early detection of breast cancer: update 1997. CA Cancer J Clin, 1997, 47:150-153.
9Carl J, Takeshi D, Kathryn F, et al. Breast cancer: importance of spiculation in computer-aided detection. Radiology, 1997, 204:1313-1315.
10Brown J, Bryan S, Warren R. Mammography screening: an incremental cost effectiveness analysis of double versus single reading of mammograms. BMJ, 1996, 312:809-812.
