A deep learning approach for the analysis of masses in mammograms with minimal user intervention

Published 2017 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A deep learning approach for the analysis of masses in mammograms with minimal user intervention
Authors
Keywords
Mammograms, Masses, Detection, Segmentation, Classification, Deep learning, Bayesian optimisation, Transfer learning, Structured output learning
Journal
MEDICAL IMAGE ANALYSIS
Volume 37, Issue -, Pages 114-128
Publisher
Elsevier BV
Online
2017-01-28
DOI
10.1016/j.media.2017.01.009

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.