@article{(Open Science Index):https://publications.waset.org/pdf/10010530,
	  title     = {Pre-Operative Tool for Facial-Post-Surgical Estimation and Detection},
	  author    = {Ayat E. Ali and  Christeen R. Aziz and  Merna A. Helmy and  Mohammed M. Malek and  Sherif H. El-Gohary},
	  country	= {},
	  institution	= {},
	  abstract     = {Goal: Purpose of the project was to make a plastic surgery prediction by using pre-operative images for the plastic surgeries’ patients and to show this prediction on a screen to compare between the current case and the appearance after the surgery. Methods: To this aim, we implemented a software which used data from the internet for facial skin diseases, skin burns, pre-and post-images for plastic surgeries then the post- surgical prediction is done by using K-nearest neighbor (KNN). So we designed and fabricated a smart mirror divided into two parts a screen and a reflective mirror so patient's pre- and post-appearance will be showed at the same time. Results: We worked on some skin diseases like vitiligo, skin burns and wrinkles. We classified the three degrees of burns using KNN classifier with accuracy 60%. We also succeeded in segmenting the area of vitiligo. Our future work will include working on more skin diseases, classify them and give a prediction for the look after the surgery. Also we will go deeper into facial deformities and plastic surgeries like nose reshaping and face slim down. Conclusion: Our project will give a prediction relates strongly to the real look after surgery and decrease different diagnoses among doctors. Significance: The mirror may have broad societal appeal as it will make the distance between patient's satisfaction and the medical standards smaller.
},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {13},
	  number    = {6},
	  year      = {2019},
	  pages     = {323 - 327},
	  ee        = {https://publications.waset.org/pdf/10010530},
	  url   	= {https://publications.waset.org/vol/150},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 150, 2019},
	}