@article{(Open Science Index):https://publications.waset.org/pdf/11920,
	  title     = {Morphological Description of Cervical Cell Images for the Pathological Recognition},
	  author    = {N. Lassouaoui and  L. Hamami and  N. Nouali},
	  country	= {},
	  institution	= {},
	  abstract     = {The tracking allows to detect the tumor affections of cervical cancer, it is particularly complex and consuming time, because it consists in seeking some abnormal cells among a cluster of normal cells. In this paper, we present our proposed computer system for helping the doctors in tracking the cervical cancer. Knowing that the diagnosis of the malignancy is based in the set of atypical morphological details of all cells, herein, we present an unsupervised genetic algorithm for the separation of cell components since the diagnosis is doing by analysis of the core and the cytoplasm. We give also the various algorithms used for computing the morphological characteristics of cells (Ratio core/cytoplasm, cellular deformity, ...) necessary for the recognition of illness.
},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {1},
	  number    = {5},
	  year      = {2007},
	  pages     = {313 - 316},
	  ee        = {https://publications.waset.org/pdf/11920},
	  url   	= {https://publications.waset.org/vol/5},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 5, 2007},
	}