Lung Nodule Detection in X-Ray Images: A New Feature Set
作者： Burçin Buket Oğul , Polat Koşucu , Ahmet Özçam , Sümeyra Demir Kanik
DOI: 10.1007/978-3-319-11128-5_38
关键词:
摘要: The high fatality rate of lung cancer brings a lot attention to Computer Aided Detection (CAD) systems for nodule detection. A CAD can help radiologist reduce the time, and effort in analyzing images increase accuracy. In this paper fully automated system is presented detect nodules from X-ray images. Proposed segments area, identifies candidates, extract features classifies candidates as or not. output highlighted candidate areas with size information. Publicly available JSRT (Japanese Society Radiological Technology) are used validate system. We achieved %80 sensitivity an average 6.4 FPs. tested on different dataset 417 %76 6.7 shows potential automate detection satisfying
springer.com
sci-hub.st 参考文章(7)
Ginés García-Mateos, Juan Manuel Carrillo-de-Gea, DETECTION OF NORMALITY/PATHOLOGY ON CHEST RADIOGRAPHS USING LBP international conference on bioinformatics. pp. 167- 172 ,(2010)
Chen Shuyue, Hou Honghua, Zeng Yanjun, Xu Xiaomin, Study of Automatic Enhancement for Chest Radiograph Journal of Digital Imaging. ,vol. 19, pp. 371- 375 ,(2006) , 10.1007/S10278-006-0623-7
Bilgin Keserci, Hiroyuki Yoshida, Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake model. Medical Image Analysis. ,vol. 6, pp. 431- 447 ,(2002) , 10.1016/S1361-8415(02)00064-6
Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger, Charles E. Metz, Wei Zhang, Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme. Journal of Digital Imaging. ,vol. 7, pp. 196- 207 ,(1994) , 10.1007/BF03168540
B. van Ginneken, S. Katsuragawa, B.M. ter Haar Romeny, Kunio Doi, M.A. Viergever, Automatic detection of abnormalities in chest radiographs using local texture analysis IEEE Transactions on Medical Imaging. ,vol. 21, pp. 139- 149 ,(2002) , 10.1109/42.993132
Junji Shiraishi, Shigehiko Katsuragawa, Junpei Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, Kunio Doi, Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. American Journal of Roentgenology. ,vol. 174, pp. 71- 74 ,(2000) , 10.2214/AJR.174.1.1740071
Chih-Chung Chang, Chih-Jen Lin, LIBSVM ACM Transactions on Intelligent Systems and Technology. ,vol. 2, pp. 1- 27 ,(2011) , 10.1145/1961189.1961199