PCG-cut: graph driven segmentation of the prostate central gland.
Prostate cancer is the most abundant cancer in men, with over 200,000 expected new cases and around 28,000 deaths in 2012 in the US alone. In this study, the segmentation results for the prostate central gland (PCG) in MR scans are presented. The aim of this research study is to apply a graph-based...
Main Author: | Jan Egger |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3795743?pdf=render |
Similar Items
-
Determination of Morphologically Characteristic PCG Segments from Spectrogram Image
by: I. S. Reljin, et al.
Published: (2010-11-01) -
Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals
by: Tanzil Hoque Chowdhury, et al.
Published: (2020-01-01) -
Automatic Recognition of Fundamental Heart Sound Segments From PCG Corrupted With Lung Sounds and Speech
by: K. Ajay Babu, et al.
Published: (2020-01-01) -
An Improved Image Segmentation by Graph Cuts
by: Cheng-LinLi, et al.
Published: (2017) -
A Study on Fitness Functions and Their Impact in PCG
by: Johansson, Simon
Published: (2018)