Abstract—The tools of decision support are generally very helpful in the medical field. Indeed, it provides practitioners with complementary relevant information that may confirm their work or avoid them the use of complex search operations. It is in this context that our research work allows us in the field of ENT to automatically determine whether a nose is broken or not. We will detail throughout this article the different stages of our work which led to fracture detection results that are accurate enough according to experts.
Index Terms—Component, classification of medical images, hausdorff dimension, ent, edge detection
Mehdi Louizi is now working as an assistant at ISSAT, Sousse, Tunisia (e-mail: email@example.com)
Cite: Mehdi Louizi and Mohamed Mohsen Gammoudi, "Method for Classification of Images in the Medical Field: The Nose Case," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 686-690, 2012.