Paper Info
Title
Simultaneous detection of prominent points on breast cancer conservative treatment images
Abstract
Breast Cancer Conservative Treatment (BCCT) is now the preferred technique for breast cancer treatment. The limited reproducibility of standard aesthetic evaluation methods led to the development of objective methods, such as Breast Cancer Conservative Treatment.cosmetic results (BCCT.core) software tool. Although the satisfying results, there are still limitations concerning complete automation and the inability to measure volumetric information. With the fundamental premise of maintaining the system as a low-cost tool, the incorporation of the Microsoft Kinect sensor in BCCT evaluations was studied. The aim with this work is to enable the simultaneous detection of breast contour and breast peak points using depth-map data. Experimental results show that the proposed algorithm is accurate and robust for a wide number of patients. Additionally, comparatively to previous research, the procedure for detecting prominent points was automated.
Year
DOI
Venue
2012
10.1109/ICIP.2012.6467491
Image Processing
Keywords
Field
DocType
cancer,gynaecology,image sensors,medical image processing,object detection,software tools,BCCT.core,Microsoft Kinect sensor,breast cancer conservative treatment images,breast peak points,depth-map data,simultaneous prominent points detection,software tool,standard aesthetic evaluation methods,volumetric information,Biomedical image processing,image analysis,medical information system
Software tool,Computer vision,Object detection,Image sensor,Breast cancer,Computer science,Automation,Artificial intelligence,Cancer
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4673-2532-5
978-1-4673-2532-5
6
PageRank 
References 
Authors
0.64
4
4
Name
Order
Citations
PageRank
Hélder P. Oliveira191.80
Jaime S. Cardoso2264.27
André Magalhães3182.25
Maria J. Cardoso460.64