Computer-aided diagnosis in breast magnetic resonance imaging.

نویسندگان

  • Gautam S Muralidhar
  • Alan C Bovik
  • Mehul P Sampat
  • Gary J Whitman
  • Tamara Miner Haygood
  • Tanya W Stephens
  • Mia K Markey
چکیده

In this paper, we review the role played by breast magnetic resonance imaging in the detection and diagnosis of breast cancer. This is followed by a discussion of clinical decision support systems in medicine and their contributions in breast magnetic resonance imaging interpretation. We conclude by discussing the future of computer-aided diagnosis in breast magnetic resonance imaging.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A review of neural network detection methods for breast cancer: review article

Breast cancer is the most common cancer among women and the earlier it is diagnosed, the easier it is to treat. The most common way to diagnose breast cancer is mammography. Mammography is a simple chest x-ray and a tool for early detection of non-palpable breast cancers and tumors. However, due to some limitations of this method such as low sensitivity especially in dense breasts, other method...

متن کامل

Automatic Computer Aided Diagnosis of Breast Cancer in Dynamic Contrast Enhanced Magnetic Resonance

Automatic Computer Aided Diagnosis of Breast Cancer in Dynamic Contrast Enhanced Magnetic Resonance Images Hongbo Wu Master of Science Graduate Department of Medical Biophysics University of Toronto 2016 Automated Computer Aided Diagnosis (CADx) systems have the potential to improve the diagnostic accuracy of radiologists. Most CADx algorithms use features generated from outlined regions to dif...

متن کامل

Static Coil Design Considerations for the Magnetic Resonance Imaging

One of the main challenges in developing magnetic resonance imaging (MRI) systems is to create a static coil that needs to generate magnetic field density along with the characteristics of optimal homogeneity and magnitude size. To do this, two N42 Block PMs are used and the iron core is designed and optimized in accordance with the dimensions of PM pieces using ANSYS Maxwell software. Then, al...

متن کامل

Development of CAD System Based on Enhanced Clustering Based Segmentation Algorithm for Detection of Masses in Breast DCE-MRI

Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammography is currently the primary method of early detection. But recent research has shown that many cases missed by mammography can be detected in Breast DCE-MRI. Magnetic Resonance (MR) imaging is emerging as the most sensitive modality that is c...

متن کامل

Gadolinium-Diethylenetriaminepenta-Acetic acid Conjugated with Monoclonal Antibody C595 as New Magnetic Resonance Imaging Contrast Agents for Breast Cancer (MCF-7) Detection

Background: The monoclonal antibody, C595, against breast cancer cell line was conjugated with cyclic anhydride gadolinium-diethylenetriaminepenta-acetic acid (Gd-cDTPAa) to produce Gd-DTPA-C595 and used as specific breast cancer cell line (MCF-7) contrast agents in magnetic resonance imaging (MRI).  Methods: After incubation of breast cancer cell line (MCF-7), with different contrast agents (G...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • The Mount Sinai journal of medicine, New York

دوره 78 2  شماره 

صفحات  -

تاریخ انتشار 2011