Charles Day's Outputs (2)

Enhancement of Panoramic Musculoskeletal Ultrasound Image Based on Fuzzy Technique (2019)
Conference Proceeding
Ibraheem Jabbar, S., Day, C., & Chadwick, E. K. (2019). Enhancement of Panoramic Musculoskeletal Ultrasound Image Based on Fuzzy Technique. In ICICT '19: Proceedings of the International Conference on Information and Communication Technology (228–232). https://doi.org/10.1145/3321289.3321312

Panoramic Musculoskeletal Ultrasound Images (PMUI) is a developed version of ultrasound images. However, low contrast is a concrete problem which impact negatively on the interpretation of important details of PMUI. Therefore, in this paper a new aut... Read More about Enhancement of Panoramic Musculoskeletal Ultrasound Image Based on Fuzzy Technique.

Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer (2017)
Conference Proceeding
Butcher, J. B., Rutter, A. V., Wootton, A. J., Day, C. R., & Sulé-Suso, J. (2017). Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer. In Advances in Computational Intelligence Systems (183-190). https://doi.org/10.1007/978-3-319-66939-7_15

Lung cancer is a widespread disease and it is well understood that systematic, non-invasive and early detection of this progressive and life-threatening disorder is of vital importance for patient outcomes. In this work we present a convergence of fa... Read More about Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer.