Breast Region Segmentation and Pectoral Muscle Removal in Mammograms
The first step in most computer aided diagnosis systems is an accurate segmentation of breast region, which affects not only the accuracy but also the speed of the analysis because it significantly reduces the area of the image to be examined. The second step usually includes removal of pectoral mus...
Main Authors: | M. Slavković-Ilić, .A. Gavrovska, M. Milivojević, I. Reljin, B. Reljin |
---|---|
Format: | Article |
Language: | English |
Published: |
Telecommunications Society, Academic Mind
2016-06-01
|
Series: | Telfor Journal |
Subjects: | |
Online Access: |
http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A9.pdf
|
Similar Items
-
On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning
by: Hossein Soleimani, et al.
Published: (2020-01-01) -
Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images
by: Dilovan Asaad Zebari, et al.
Published: (2020-01-01) -
PeMNet for Pectoral Muscle Segmentation
by: Xiang Yu, et al.
Published: (2022-01-01) -
Accurate Detection of Distorted Pectoral Muscle in Mammograms Using Specific Patterned Isocontours
by: Hayati Ture, et al.
Published: (2020-01-01) -
Mastopexy with the splitting of the upper pectoral
muscle and inferior muscle flap
by: Jerônimo Martinez Sgarbi, et al.
Published: (2021-06-01)