Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
- 30 September 2019
- journal article
- conference paper
- Published by Elsevier BV in Medical Image Analysis
- Vol. 57, 1-17
- https://doi.org/10.1016/j.media.2019.06.007
Abstract
No abstract availableKeywords
Funding Information
- Horizon 2020 (690238)
This publication has 29 references indexed in Scilit:
- Shape-based Automatic Detection of Pectoral Muscle Boundary in MammogramsJournal of Medical and Biological Engineering, 2015
- Pectoral Muscle Detection in Mammograms Using Local Statistical FeaturesJournal of Digital Imaging, 2014
- INbreastAcademic Radiology, 2012
- Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based FeatureJournal of Digital Imaging, 2011
- Computer-Aided Identification of the Pectoral Muscle in Digitized MammogramsJournal of Digital Imaging, 2009
- Automatic Pectoral Muscle Segmentation on Mediolateral Oblique View MammogramsIEEE Transactions on Medical Imaging, 2004
- Breast tissue density quantification via digitized mammogramsIEEE Transactions on Medical Imaging, 2001
- A simple method for automatically locating the nipple on mammogramsIEEE Transactions on Medical Imaging, 1997
- The use of texture analysis to delineate suspicious masses in mammographyPhysics in Medicine & Biology, 1995
- Mammographic positioning: evaluation from the view box.Radiology, 1993