Search Paper
  • Home
  • Login
  • Categories
  • Post URL
  • Academic Resources
  • Contact Us

 

MAMMOGRAPHY LESION DETECTION USING FASTER R-CNN DETECTOR

google+
Views: 136                 

Author :  Reza Reiazi

Affiliation :  Department of Medical Physics, School of Medicine, Iran University of Medical Sciences

Country :  Iran

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  8, 2, January, 2018

Abstract :


Recently availability of large scale mammography databases enable researchers to evaluates advanced tumor detections applying deep convolution networks (DCN) to mammography images which is one of the common used imaging modalities for early breast cancer. With the recent advance of deep learning, the performance of tumor detection has been developed by a great extent, especially using R-CNNs or Region convolution neural networks. This study evaluates the performance of a simple faster R-CNN detector for mammography lesion detection using a MIAS databases.

Keyword :  Mammography, Convolution Neural Network, R-CNN, lesion

Journal/ Proceedings Name :  Computer Science & Information Technology

URL :  https://airccj.org/CSCP/vol8/csit88212.pdf

User Name : alex
Posted 14-05-2020 on 16:18:32 AEDT



Related Research Work

  • An Adaptive And Smart System For Parental Control On Digital Games
  • Intelligent System For Solving Problems Of Veterinary Medicine On The Example Of Dairy Farms
  • A Diet Control And Fitness Assistant Application Using Deep Learning-based Image Classification
  • 2d Image Features Detector And Descriptor Selection Expert System

About Us | Post Cfp | Share URL Main | Share URL category | Post URL
All Rights Reserved @ Call for Papers - Conference & Journals