Open Access
Issue
ITM Web Conf.
Volume 68, 2024
2024 First International Conference on Artificial Intelligence: An Emerging Technology in Management (ICAETM 2024)
Article Number 01014
Number of page(s) 8
Section Engineering Technology & Management
DOI https://doi.org/10.1051/itmconf/20246801014
Published online 12 December 2024
  1. Yee, S. L. K., & Raymond, W. J. K. (2020, September). Pneumonia diagnosis using chest Xray images and machine learning. In proceedings of the 2020 10th international conference on biomedical engineering and technology (pp. 101–105). https://doi.org/10.1145/3397391.3397412 [Google Scholar]
  2. Lekshmy, S., Sridhar, K. P., & Roberts, M. K. (2024). Analyzing the performance of a bio-sensor integrated improved blended learning model for accurate pneumonia prediction. Results in Engineering, 22, 102063. [CrossRef] [Google Scholar]
  3. Singh, S., Kumar, M., Kumar, A., Verma, B. K., Abhishek, K., & Selvarajan, S. (2024). Efficient pneumonia detection using Vision Transformers on chest X-rays. Scientific Reports, 14(1), 2487. https://doi.org/10.1038/s41598-024-52703-2 [CrossRef] [Google Scholar]
  4. Roy, K., Chaudhury, S. S., Burman, M., Ganguly, A., Dutta, C., Banik, S., & Banik, R. (2019, March). A Comparative study of Lung Cancer detection using supervised neural network. In 2019 international conference on opto-electronics and applied optics (Optronix) (pp. 1–5). IEEE. doi: 10.1109/OPTRONIX.2019.8862326 [MathSciNet] [Google Scholar]
  5. Sanida, M. V., Sanida, T., Sideris, A., & Dasygenis, M. (2024). An advanced deep learning framework for multi-class diagnosis from chest x-ray images. J, 7(1), 48–71. https://doi.org/10.3390/j7010003 [Google Scholar]
  6. Adithya, J., Nair, B., Aishwarya, T. S., & Nath, L. R. (2021). The plausible role of indian traditional medicine in combating corona virus (SARS-CoV 2): a mini-review. Current Pharmaceutical Biotechnology, 22(7), 906–919. [Google Scholar]
  7. Hwa, S. K. T., Bade, A., & Hijazi, M. A. (2020, November). Enhanced Canny edge detection for Covid-19 and pneumonia X-Ray images. In IOP conference series: materials science and engineering (Vol. 979, No. 1, p. 012016). IOP Publishing. https://dx.doi.org/10.1088/1757899X/979/1/012016 [Google Scholar]
  8. Sahoo, T., & Pine, S. (2016, October). Design and simulation of various edge detection techniques using Matlab Simulink. In 2016 International conference on signal processing, communication, power and embedded system (SCOPES) (pp. 1224–1228). IEEE. DOI:10.1109/SCOPES.2016.7955636 [Google Scholar]
  9. Ansari, M. A., Kurchaniya, D., & Dixit, M. (2017). A comprehensive analysis of image edge detection techniques. International Journal of Multimedia and Ubiquitous Engineering, 12(11), 1–12. http://dx.doi.org/10.14257/ijmue.2017.12.11.01 [CrossRef] [Google Scholar]
  10. Kumar, M., & Saxena, R. (2013). Algorithm and technique on various edge detection: A survey. Signal & Image Processing, 4(3), 65. DOI:10.5121/SIPIJ.2013.4306 [Google Scholar]
  11. Makandar, A., & Halalli, B. (2015). Image enhancement techniques using highpass and lowpass filters. International Journal of Computer Applications, 109(14), 12–15. DOI:10.5120/19256-0999 [Google Scholar]
  12. Kieu, S. T. H., Bade, A., & Hijazi, M. H. A. (2022, August). Modified canny edge detection technique for identifying endpoints. In Journal of Physics: Conference Series (Vol. 2314, No. 1, p. 012023). IOP Publishing. DOI 10.1088/17426596/2314/1/012023 [Google Scholar]
  13. Jang, W., & Lee, S. Y. (2020). Partial image encryption using format preserving encryption in image processing systems for Internet of things environment. International Journal of Distributed Sensor Networks, 16(3). [Google Scholar]
  14. Fang, Y., Ma, K., Wang, Z., Lin, W., Fang, Z., & Zhai, G. (2014). No-reference quality assessment of contrast-distorted images based on natural scene statistics. IEEE Signal Processing Letters, 22(7), 838–842. DOI: 10.1109/LSP.2014.2372333 [Google Scholar]
  15. Vincent, O. R., & Folorunso, O. (2009, June). A descriptive algorithm for sobel image edge detection. In Proceedings of informing science & IT education conference (InSITE) (Vol. 40, pp. 97107). https://doi.org/10.28945/3351 [Google Scholar]
  16. Gao, W., Zhang, X., Yang, L., & Liu, H. (2010, July). An improved Sobel edge detection. In 2010 3rd International conference on computer science and information technology (Vol. 5, pp. 67–71). IEEE. doi: 10.1109/ICCSIT.2010.5563693 [Google Scholar]
  17. Malarvizhi, C., & Balamurugan, P. (2019). “Qualitative Analysis Of Various Edge Detection Techniques Applied On Cervical Herniated Spine Images.”. ICTACT Journal of Image and Video Processing, 9(04), 1986–1991. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.