Pandu Dewabrata
- P. Astari, "Katarak: Klasifikasi, Tatalaksana, dan Komplikasi Operasi," Cermin Dunia Kedokteran, vol. 45, pp. 748-753, 2018.Google Scholar
- Kementerian Kesehatan RI, Situasi Gangguan Penglihatan, Kementerian Kesehatan RI, 2018.Google Scholar
- IAPB Vision Atlas, "Cataract - The International Agency for the Prevention of Blindness," 2020. [Online]. Available: https://www.iapb.org/learn/vision-atlas/causes-of-vision-loss/cataract/. [Accessed 15 March 2021].Google Scholar
- Y. N. Fuadah, A. W. Setiawan, T. L. Mengko and Budiman, "Mobile cataract detection using optimal combination of statistical texture analysis," 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), pp. 232-236, 2015.Google Scholar
- A. Jagadale, S. Sonavane and D. Jadav, "Computer Aided System For Early Detection Of Nuclear Cataract Using Circle Hough Transform," 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 1009-1012, 2019.Google Scholar
- R. Sigit, E. Triyana and M. Rochmad, "Cataract Detection Using Single Layer Perceptron Based on Smartphone," 2019 3rd International Conference on Informatics and Computational Sciences (ICICoS), pp. 1-6, 2019.Google Scholar
- X. Qian, E. W. Patton, J. Swaney, Q. Xing and T. Zeng, "Machine Learning on Cataracts Classification Using SqueezeNet," 2018 4th International Conference on Universal Village (UV), pp. 1-3, 2018.Google Scholar
- E. Granger, M. Kiran, M. Blais and A. Louis, "A comparison of cnn-based face and head detectors for real-time video surveillance applications," 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 1-7, 2017.Google Scholar
- C. Luo, X. Li, L. Wang, J. He, D. Li and J. Zhou, "How Does the Data set Affect CNN-based Image Classification Performance?," 2018 5th International Conference on Systems and Informatics (ICSAI), pp. 361-366, 2018.Google Scholar
- P. Viola and M. J. Jones, "Robust real-time face detection," International journal of computer vision, vol. 57, no. 2, pp. 137-154, 2004.Google Scholar
- C. P. Papageorgiou, M. Oren and T. Poggio, "A general framework for object detection," Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271), pp. 555-562, 1998.Google Scholar
- F. Lalys, L. Riffaud, D. Bouget and P. Jannin, "A framework for the recognition of high-level surgical tasks from video images for cataract surgeries," IEEE Transactions on Biomedical Engineering, vol. 59, pp. 966-976, 2011.Google ScholarCross Ref
- J. Kaur, P. Sinha, R. Shukla and V. Tiwari, "Automatic Cataract Detection Using Haar Cascade Classifier," in Data Intelligence and Cognitive Informatics, Singapore, Springer, 2021, pp. 543-556.Google Scholar
- D. Djamaluddin, T. Indrabulan, S. W. Sidehabi, Andani and Indrabayu, "The simulation of vehicle counting system for traffic surveillance using Viola Jones method," 2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI), pp. 130-135, 2014.Google Scholar
- U. Hanifah, P. D. Kusuma and C. Setianingsih, "Detection of Pterygium Disease Using Forward Chaining and Viola Jones Algorithm," 2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC), pp. 50-56, 2018.Google Scholar
- K. C. Kirana, S. Wibawanto and H. W. Herwanto, "Facial Emotion Recognition based on Viola-Jones Algorithm in the Learning Environment," 2018 International seminar on application for technology of information and communication, pp. 406-410, 2018.Google Scholar
- M. A. Rahman and T. Zayed, "Viola-Jones Algorithm for Automatic Detection of Hyperbolic Regions in GPR Profiles of Bridge Decks," 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), pp. 1-4, 2018.Google Scholar
- F. Provost, "Glossary of Terms Special Issue on Applications of Machine Learning and the Knowledge Discovery Process," Machine Learning, vol. 30, pp. 271-274, 1998.Google ScholarDigital Library
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