title: Advances in Optimal Detection of Cancer by Image Processing; Experience with Lung and Breast Cancers.
abstract: Clinicians should looking for techniques that helps to early diagnosis of cancer, because early cancer detection is critical to increase survival and cost effectiveness of treatment, and as a result decrease mortality rate. Medical images are the most important tools to provide assistance. However, medical images have some limitations for optimal detection of some neoplasias, originating either from the imaging techniques themselves, or from human visual or intellectual capacity. Image processing techniques are allowing earlier detection of abnormalities and treatment monitoring. Because the time is a very important factor in cancer treatment, especially in cancers such as the lung and breast, imaging techniques are used to accelerate diagnosis more than with other cancers. In this paper, we outline experience in use of image processing techniques for lung and breast cancer diagnosis. Looking at the experience gained will help specialists to choose the appropriate technique for optimization of diagnosis through medical imaging.
authors: Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran E-mail : z-mohammadzadeh@razi.tums.ac.ir.
authors: Zeinab
authors: Z
authors: Mohammadzadeh
authors: Reza
authors: R
authors: Safdari
authors: Marjan
authors: M
authors: Ghazisaeidi
authors: Somayeh
authors: S
authors: Davoodi
authors: Zahra
authors: Z
authors: Azadmanjir
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis*; D003952:Diagnostic Imaging; D055088:Early Detection of Cancer; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008175:Lung Neoplasms / Q000175:diagnosis*