- M. A. Dwijaya, U. A. Ahmad, dan ..., “Perancangan Model Pengenalan Citra Digital Tomografi Paru-Paru Untuk Deteksi Covid-19 Menggunakan Jaringan Saraf Tiruan,” eProceedings …, vol. 8, no. 6, hal. 12080–12092, 2021, [Daring]. Tersedia pada: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/17039
- A. Elangovan dan T. Jeyaseelan, “Medical imaging modalities: A survey,” 1st Int. Conf. Emerg. Trends Eng. Technol. Sci. ICETETS 2016 - Proc., hal. 2–5, 2016, doi: 10.1109/ICETETS.2016.7603066
- J. A. Noble dan D. Boukerroui, “Ultrasound image segmentation: A survey,” IEEE Trans. Med. Imaging, vol. 25, no. 8, hal. 987–1010, 2006, doi: 10.1109/TMI.2006.877092
- P. P. A. Smyth, “The thyroid and breast cancer: A significant association?,” Ann. Med., vol. 29, no. 3, hal. 189–191, 1997, doi: 10.3109/07853899708999335
- P. J. Hardefeldt, G. D. Eslick, dan S. Edirimanne, “Benign thyroid disease is associated with breast cancer: A meta-analysis,” Breast Cancer Res. Treat., vol. 133, no. 3, hal. 1169–1177, 2012, doi: 10.1007/s10549-012-2019-3
- A. Angelousi et al., “Is there an association between thyroid function abnormalities and breast cancer?,” Arch. Endocrinol. Metab., vol. 61, no. 1, hal. 54–61, 2017, doi: 10.1590/2359-3997000000191
- A. Rodríguez-Cristerna, W. Gómez-Flores, dan W. C. de Albuquerque Pereira, “A computer-aided diagnosis system for breast ultrasound based on weighted BI-RADS classes,” Comput. Methods Programs Biomed., vol. 153, hal. 33–40, 2017, doi: 10.1016/j.cmpb.2017.10.004
- T. L. Szabo, Diagnostic Ultrasound Imaging: Inside Out. Elsevier, 2014. doi: 10.1016/C2011-0-07261-7
- R. Takahashi dan Y. Kajikawa, “Computer-aided diagnosis: A survey with bibliometric analysis,” Int. J. Med. Inform., vol. 101, hal. 58–67, 2017, doi: 10.1016/j.ijmedinf.2017.02.004
- K. Drukker, C. A. Sennett, dan M. L. Giger, “Automated method for improving system performance of computer-aided diagnosis in breast ultrasound,” IEEE Trans. Med. Imaging, vol. 28, no. 1, hal. 122–128, 2009, doi: 10.1109/TMI.2008.928178
- K. Doi, “Computer-aided diagnosis in medical imaging: Historical review, current status and future potential,” Comput. Med. Imaging Graph., vol. 31, no. 4–5, hal. 198–211, 2007, doi: 10.1016/j.compmedimag.2007.02.002
- C. Kaushal, S. Bhat, D. Koundal, dan A. Singla, “Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images,” Irbm, vol. 40, no. 4, hal. 211–227, 2019, doi: 10.1016/j.irbm.2019.06.001
- B. Bhanu dan S. Lee, Genetic Learning for Adaptive Image Segmentation. Springer US, 1994. [Daring]. Tersedia pada: https://books.google.co.id/books?id=2%5C_R9u%5C_xOZu4C
- Zulfanahri, H. A. Nugroho, A. Nugroho, E. L. Frannita, dan I. Ardiyanto, “Classification of thyroid ultrasound images based on shape features analysis,” BMEiCON 2017 - 10th Biomed. Eng. Int. Conf., vol. 2017-Janua, hal. 1–5, 2017, doi: 10.1109/BMEiCON.2017.8229106
- D. A. Spak, J. S. Plaxco, L. Santiago, M. J. Dryden, dan B. E. Dogan, “BI-RADS® fifth edition: A summary of changes,” Diagn. Interv. Imaging, vol. 98, no. 3, hal. 179–190, 2017, doi: 10.1016/j.diii.2017.01.001
- J. H. Yoon, H. S. Lee, E. K. Kim, H. J. Moon, dan J. Y. Kwak, “Malignancy risk stratification of thyroid nodules: Comparison between the thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association management guidelines,” Radiology, vol. 278, no. 3, hal. 917–924, 2016, doi: 10.1148/radiol.2015150056
- A. Nugroho, R. Hidayat, dan H. A. Nugroho, “Artifact removal in radiological ultrasound images using selective and adaptive median filter,” ACM Int. Conf. Proceeding Ser., hal. 237–241, 2019, doi: 10.1145/3309074.3309119
- A. Nugroho, R. Hidayat, H. A. Nugroho, dan J. Debayle, “Combinatorial active contour bilateral filter for ultrasound image segmentation,” J. Med. Imaging, vol. 7, no. 05, hal. 1–13, 2020, doi: 10.1117/1.jmi.7.5.057003
- S. Wu, Q. Zhu, dan Y. Xie, “Evaluation of various speckle reduction filters on medical ultrasound images,” Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, hal. 1148–1151, 2013, doi: 10.1109/EMBC.2013.6609709
- N. S. Narayan, P. Marziliano, dan C. G. L. Hobbs, “Automatic removal of manually induced artefacts in ultrasound images of thyroid gland,” Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, hal. 3399–3402, 2013, doi: 10.1109/EMBC.2013.6610271
- X. Wang, S. Li, J. Li, J. Wang, dan M. Zhang, “A novel segmentation model with dual level set function based on Chan-vese and local binary fitting models,” 2016 3rd Int. Conf. Syst. Informatics, ICSAI 2016, no. Icsai, hal. 837–842, 2016, doi: 10.1109/ICSAI.2016.7811067
- D. Koundal, S. Gupta, dan S. Singh, “Automated delineation of thyroid nodules in ultrasound images using spatial neutrosophic clustering and level set,” Appl. Soft Comput., vol. 40, hal. 86–97, Mar 2016, doi: 10.1016/J.ASOC.2015.11.035
- H. D. Cheng, J. Shan, W. Ju, Y. Guo, dan L. Zhang, “Automated breast cancer detection and classification using ultrasound images: A survey,” Pattern Recognit., vol. 43, no. 1, hal. 299–317, Jan 2010, doi: 10.1016/J.PATCOG.2009.05.012
- S. Sridevi dan M. Sundaresan, “Survey of image segmentation algorithms on ultrasound medical images,” Proc. 2013 Int. Conf. Pattern Recognition, Informatics Mob. Eng. PRIME 2013, hal. 215–220, 2013, doi: 10.1109/ICPRIME.2013.6496475
- M. Xian, Y. Zhang, H. D. Cheng, F. Xu, B. Zhang, dan J. Ding, “Automatic breast ultrasound image segmentation: A survey,” Comput. Vis. Pattern Recognit., hal. 10–71, Jul 2017, doi: 10.1016/J.PATCOG.2018.02.012
- Q. Huang, Y. Luo, dan Q. Zhang, “Breast ultrasound image segmentation: a survey,” Int. J. Comput. Assist. Radiol. Surg., vol. 12, no. 3, hal. 493–507, 2017, doi: 10.1007/s11548-016-1513-1
- K. M. Meiburger, U. R. Acharya, dan F. Molinari, “Automated localization and segmentation techniques for B-mode ultrasound images: A review,” Comput. Biol. Med., vol. 92, hal. 210–235, 2018, doi: 10.1016/j.compbiomed.2017.11.018
- A. Nugroho, R. Hidayat, dan H. A. Nugroho, “Thyroid ultrasound image segmentation: A review,” Proc. - 2019 5th Int. Conf. Sci. Technol. ICST 2019, 2019, doi: 10.1109/ICST47872.2019.9166443
- Y. Hu et al., “Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model,” Med. Phys., vol. 46, no. 1, hal. 215–228, 2019, doi: 10.1002/mp.13268
- A. Nugroho, R. Hidayat, H. A. Nugroho, dan J. Debayle, “Ultrasound object detection using morphological region-based active contour: An application system,” Int. J. Innov. Learn., vol. 29, no. 4, hal. 412–430, 2021, doi: 10.1504/IJIL.2021.115497
- A. Nugroho, H. A. Nugroho, dan L. Choridah, “Active Contour Bilateral Filtering for Breast Lesions Segmentation on Ultrasound Images,” hal. 36–40, 2015
- D. Koundal, B. Sharma, dan Y. Guo, “Intuitionistic based segmentation of thyroid nodules in ultrasound images,” Comput. Biol. Med., vol. 121, hal. 103776, 2020, doi: 10.1016/j.compbiomed.2020.103776
- J. jing Zong, T. shuang Qiu, W. dong Li, dan D. mei Guo, “Automatic ultrasound image segmentation based on local entropy and active contour model,” Comput. Math. with Appl., vol. 78, no. 3, hal. 929–943, 2019, doi: 10.1016/j.camwa.2019.03.022
- A. Rodtook, K. Kirimasthong, W. Lohitvisate, dan S. S. Makhanov, “Automatic initialization of active contours and level set method in ultrasound images of breast abnormalities,” Pattern Recognit., vol. 79, hal. 172–182, 2018, doi: 10.1016/j.patcog.2018.01.032
- F. A. Hermawati, H. Tjandrasa, Sugiono, G. I. P. Sari, dan A. Azis, “Automatic femur length measurement for fetal ultrasound image using localizing region-based active contour method,” J. Phys. Conf. Ser., vol. 1230, no. 1, hal. 012002, 2019, doi: 10.1088/1742-6596/1230/1/012002
- T. F. Chan dan L. A. Vese, “Active contours without edges,” IEEE Trans. Image Process., vol. 10, no. 2, hal. 266–277, 2001, doi: 10.1109/83.902291
- A. Nugroho, R. Hidayat, H. A. Nugroho, dan J. Debayle, “Development of Active Contour Model For Radiological Ultrasound Image Segmentation,” Universitas Gadjah Mada, 2021. [Daring]. Tersedia pada: http://etd.repository.ugm.ac.id/penelitian/detail/204336
- V. Caselles, R. Kimmel, dan G. Sapiro, “Geodesic Active Contours,” Int. J. Comput. Vis., vol. 22, no. 1, hal. 61–79, 1997, doi: 10.1023/A:1007979827043
- Z. Wang, K. Wang, F. Yang, S. Pan, dan Y. Han, “Image segmentation of overlapping leaves based on Chan–Vese model and Sobel operator,” Inf. Process. Agric., vol. 5, no. 1, hal. 1–10, 2018, doi: 10.1016/j.inpa.2017.09.005
- A. Nugroho, R. Hidayat, H. Adi Nugroho, dan J. Debayle, “Cancerous object detection using morphological region-based active contour in ultrasound images,” J. Phys. Conf. Ser., vol. 1444, no. 1, hal. 12011, Jan 2020, doi: 10.1088/1742-6596/1444/1/012011
- S. Ruuska, W. Hämäläinen, S. Kajava, M. Mughal, P. Matilainen, dan J. Mononen, “Evaluation of the confusion matrix method in the validation of an automated system for measuring feeding behaviour of cattle,” Behav. Processes, vol. 148, hal. 56–62, 2018
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