DAFTAR PUSTAKA
Ada, & Kaur, R. (2013). Feature Extraction and Principal Component Analysis for Lung Cancer Detection in CT scan Images. International Journal of Advanced Research in Computer Science and Softwere Enginering, 3(3), 187–190. Altman, D. G. (1999). Practical Statistic for Medical Research. Boca Raton :
Chapman and Hall.
Barnes, E. (2015). Ground - glass nodule features on CT reveal malignancy risk. Radiology, News, Education, Service. Retrieved May 23, 2015, from http://www.auntminnie.com
Brandman, S., & Ko, J. P. (2011). Pulmonary Nodule Detection , Characterization , and Management With Multidetector Computed Tomography. Journal Thorac Imaging, 26(5), 90–105.
Budiarto, E. (2002). Biostatistika untuk kedokteran dan kesehatan masyarakat. EGC, Jakarta.
Dahlan, M. S. (2009a). Menentukan besar sampel. In Besar sampel dan cara pengambilan sampel dalam penelitian kedokteran dan kesehatan. 2nd ed. (pp. 18–19). Salemba Medika, Jakarta.
Dahlan, M. S. (2009b). Penelitian Diagnostik. Salemba Medika, Jakarta.
Dhara, A., Mukhopadhyay, S., & Khandelwal, N. (2012). Computer-aided Detection and Analysis of Pulmonary Nodule from CT Images : A Survey. IETE Technical Review, 29(4), 265–276.
Fossella, F., Komaki, R., & Putnam Jr, J. (2003). Implementation of Multidisciplinary Care in the Treatment of Patients with Lung Cancer. In Lung Cancer (pp. 6–7). Springer-Verlag New York, Inc.
Giger, L. ., Doi, K., MacMahon, H., Metz, C. E., & Yin, F.-F. (1990). Pulmonary Nodules : Detection in Digital Chest. RadioGraphics, 10(1), 41–51.
Godoy, M. C. B., Truong, M. T., Carter, B. W., Viswanathan, C., de Groot, P., & Ko, J. P. (2015). Pitfalls in Pulmonary Nodule Characterization. Seminars in Roentgenology-Elsevier, 1–11.
Hansen, J. T., & Koeppen, B. M. (2002). Respiratory Physiology. In Netter Atlas of Human Physiology (p. 92). Elsevier.
& Miettinen, O. . (2002). CT screening for lung cancer : Frequency and Significance of Part-Solid and Nonsolid Nodules. American Journal Radiology, 178(5), 1053 – 1056.
Herold, C. J. (2014). Management of solid and sub-solid lung nodules. Cancer Imaging Journal, 14(10), 24.
Icksan, A., Raisal, R. ., Elisna, Astowo, P., Hidayat, H., & Prihartono, J. (2008). Kriteria Diagnosis Kanker Paru Primer Berdasarkan Gambaran Morfologi pada CT Scan Toraks Dibandingkan dengan Sitologi. Indonesian Journal of Cancer, 1, 3–8.
Jacobs, C., Clara, I. S., Saur, S. C., Twellmann, T., Jong, P. A. De, & Ginneken, B. Van. (2011). Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape , Intensity and Context Features. Lecture Notes in Computer Science Journal, 207–214.
Jacobs, C., Rikxoort, E. M. Van, Scholten, E. T., Jong, P. A. De, Prokop, M., Schaefer-prokop, C., & Ginneken, B. Van. (2015). Classification of Pulmonary Nodules in Low-Dose Chest Computed Tomography by a Computer-Aided Diagnosis System. Investigative Radiology, 50(5), 168–173. Kakeda, S., Moriya, J., Sato, H., Aoki, T., Watanabe, H., Nakata, H., … Doi, K. (2004). Improved Detection of Lung Nodules on Chest Radiographs Using a Commercial Computer- Aided Diagnosis System. American Journal Radiology, 182(2), 505–510.
Kazerooni, E. a., Armstrong, M. R., Amorosa, J. K., Hernandez, D., Liebscher, L. a., Nath, H., … Wilcox, P. a. (2015). ACR CT Accreditation Program and the Lung Cancer Screening Program Designation. Journal American College of Radiology, 12(1), 38–42.
Li, F., Sone, S., Abe, H., Macmahon, H., & Doi, K. (2004). Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radioligy, 233(3), 793–798.
Manos, D., Seely, J. M., Taylor, J., Borgaonkar, J., Roberts, H. C., & Mayo, J. R. (2014). The lung reporting and data system (LU-RADS): A proposal for computed tomography screening. Cannadian Association of Radiology Journal, 65(2), 121–134.
McKee, B. J., Regis, S. M., McKee, A. B., Flacke, S., & Wald, C. (2015). Performance of ACR Lung-RADS in a Clinical CT Lung Screening Program. Journal American College of Radiology, 12(3), 273–276.
Mediatrix, M., & Adji, T. B. (2015). Ekstraksi Morfologi Kanker Paru-Paru Primer Menggunakan Gray Level Co-Occurence Matrices dan Zernike Moment. Universitas Gadjah Mada.
Mets, O., & Smithuis, R. (2013). Fleischner Guidelines for Pulmonary Nodules. The Radiology Assistant, 1–6.
Miller, J. C., & Lee, S. (2006). Evaluating Pulmonary Nodule. Radiology Rounds, 4(8), 18–21.
Murti, B. (2011). Validitas dan Reliabilitas Pengukuran. In Matrikulasi Program Studi Doktoral (pp. 1–19). Fakultas Kedokteran, Universitas Sebelas Maret, Surakarta.
Oemiati, R., Rahajeng, E., & Kristanto, A. Y. (2011). Prevalensi Tumor dan Beberapa Faktor yang Mempengaruhinya di Indonesia. Buletin Penelitian Kesehatan, 39(4), 190–204.
Orta, R., Paganini, L., Davies, K. M., Dalurzo, M. L., Ulla, M., & Mónaco, R. G. (2013). Subsolid pulmonary nodules at multislice computed tomography . Characteristics and differential diagnosis with lung adenocarcinoma. Revista Argentina Radiology, 77(4), 1–11.
Pass, H. I., Carbone, D. P., Minna, J. D., Johnson, D. H., Scagliotti, G. V, & Turrisi, A. T. (2010). Management of Ground-Glass Opacity Lesions. In Principles & Practice of Lung Cancer The Official Reference Text of The IASLC (4th ed., pp. 467–472). Lippincott Williams & Wilkins, a Wolters Kluwer.
Patel, V. K., Naik, S. K., Naidich, D. P., Travis, W. D., Weingarten, J. A., Lazzaro, R., … Raoof, S. (2013). A Practical Algorithmic Approach to the. Journal Chest Imaging, 143(3), 825–839.
Patil, P., Patil, S. V, & Chaudhari, D. D. (2014). Conversion of DICOM Multi-Frame Medical Image into Multimedia Format using MATLAB. International Journal of Engineering and Advanced Technology, 4(12), 159–161.
Putz, R., & Pabst, R. (2006). Lungs. In R. Putz & R. Pabst (Eds.), Sobotta : Atlas of Human Anatomy Volume 2. (14th ed., Vol. 2, pp. 74–127). Elsevier GmbH, Munich.
Qiang Li, F. L. & K. D. (2008). Computerized Detection of Lung Nodules in Thin-Section CT Images by use of Selective Enhancement Filters and an Automated Rule-Based Classifier. Academic Radiology Journal, 15(2), 165–175.
menggunakan Kombinasi Dynamic Time Wrapping (DTW) dan Polar Fourier Transform. Universitas Gadjah Mada.
Rikxoort, E. van. (2009). Adaptive Local Multi-Atlas Segmentation. In Segmentation of anatomical structures in chest CT scans. (pp. 6–66).
Saravanan, S., Selvakumar, G., Amarnath, C., & Manikandan, S. (2014). Automation of Lung Nodule Segmentation Using Artificial Neural Network in CT Lung Images. International Journal of Science and Applied Information Technology, 19(7), 16–19.
Sastroasmoro, S. (2011). Pemilihan subyek dalam penelitian. In Dasar-dasar metodologi penelitian klinis. 4th ed. (pp. 88–101). Sagung Seto, Jakarta. Seidelman, J. L., Myers, J. L., & Quint, L. E. (2013). Incidental , subsolid
pulmonary nodules at CT : etiology and management. Cancer Imaging, 13(10), 365–373.
Siegel, S. (1997). Statistik Nonparametrik untuk Ilmu – Ilmu Sosial. PT Gramedia Pustaka Utama, Jakarta.
Sinaga, F., Choridah, L., & Dwidanarti, R. (2014). Kesesuaian Pemeriksaan Ultrasonografi dan Computer Aided Detection untuk Menentukan Karakteristik Lesi Kistik, Kompleks dan Solid Payudara. Universitas Gadjah Mada.
Sugiono. (2007). Metode Penelitian Pendidikan, Pendekatan Kuantitatif, Kualitatif, dan R&D. Alfa Beta, Bandung.
Susanto, A., & Kadir, A. (2012). Ekstraksi Fitur Bentuk dan Kontur. In Pengolahan Citra (pp. 575–640).
Travis, W. D., Brambilla, E., & Riely, G. J. (2013). New Pathologic Classification of Lung Cancer : Relevance for Clinical Practice and Clinical Trials. Journal Clinical Oncology, 31, 1–11.
Weerakkody, Y., & Matt A, M. (2015). Lung - RADS. Radiology Reference Article, 1–6. Retrieved from http://radiopaedia.org/articles/lung?rads
Wibowo, K. B., Choridah, L., & Sudarmanta. (2014). Kesesuaian Interpretasi Ultrasonografi dan Computer Aided Detection dalam Menentukan Lesi Solid dan Kistik Tyroid. Universitas Gadjah Mada.
Williams, M. D. M. D., & Sandler, M. D. A. B. (2001). The Epidemiology of Lung Cancer. In Thoracic Oncology (pp. 31–52).
World Health Organization. (2012). Cancer facts sheet. WHO Media Center Cancer. Retrieved February 17, 2015, from http://www.who.int/mediacentre/
