Literature DB >> 26320425

Advances in Optimal Detection of Cancer by Image Processing; Experience with Lung and Breast Cancers.

Zeinab Mohammadzadeh1, Reza Safdari, Marjan Ghazisaeidi, Somayeh Davoodi, Zahra Azadmanjir.   

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.

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Year:  2015        PMID: 26320425     DOI: 10.7314/apjcp.2015.16.14.5613

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  2 in total

1.  Mobile Phone Based System Opportunities to Home-based Managing of Chemotherapy Side Effects.

Authors:  Somayeh Davoodi; Zeinab Mohammadzadeh; Reza Safdari
Journal:  Acta Inform Med       Date:  2016-06-04

2.  MRI Image Processing Based on Fractal Analysis

Authors:  Mariya Y Marusina; Alexandra P Mochalina; Ekaterina P Frolova; Valentin I Satikov; Anton A Barchuk; Vladimir I Kuznetcov; Vadim S Gaidukov; Segrey A Tarakanov
Journal:  Asian Pac J Cancer Prev       Date:  2017-01-01
  2 in total

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