NDLI: Towards breast ultrasound image segmentation using multi-resolution pixel descriptors

Content Provider	IEEE Xplore Digital Library
Author	Rodrigues, R. Pinheiro, A. Braz, R. Pereira, M. Moutinho, J.
Copyright Year	2012
Description	Author affiliation: Fac. Ciências Saude Universidade da Beira Interior - Portugal (Moutinho, J.) \|\| Remote Sensing Unit Universidade da Beira Interior - Portugal (Rodrigues, R.; Pinheiro, A.) \|\| Inst. de Telecomunicações Universidade da Beira Interior - Portugal (Braz, R.; Pereira, M.)
Abstract	Breast ultrasound images are an important diagnostic factor for breast cancer detection. However, ultrasound imaging is intrinsically degraded by noise, resulting in a difficult detection of masses or nodules, and, most importantly, the evaluation of their size and shape. Computer-aided diagnosis figures as a major help factor, when it comes to analyzing this type of medical imaging. A fully automated and computationally efficient method for breast ultrasound segmentation is proposed. The algorithm classifies the images, with Support Vector Machines and Discriminant Analysis classifiers, based on a pixel descriptor formed with the information from anisotropic diffusion, band-pass filtering and scale-space curvature. The final segmentation results after the application of a set of heuristic rules for the selection of the classifiers' result, based on the ultrasound image characteristics. The final segmentation results yielded good overall accuracy, precision and also recall rates.
Starting Page	2833
Ending Page	2836
File Size	497283
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Ultrasonic imaging Image segmentation Support vector machines Band pass filters Breast Noise Smoothing methods
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

SVM for edge-preserving filtering

Segmentation of 2D fetal ultrasound images by exploiting context information using conditional random fields

Some results on low resolution airborne ultrasonic image generation and processing

Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information

Multiscale identification of buildings in compressed large aerial scenes

Preserving contours in dual pyramids

Breast ultrasound images gland segmentation

An integral criterion for detecting boundary edges and textured regions

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors

Towards breast ultrasound image segmentation using multi-resolution pixel descriptors

Similar Documents

SVM for edge-preserving filtering

Segmentation of 2D fetal ultrasound images by exploiting context information using conditional random fields

Some results on low resolution airborne ultrasonic image generation and processing

Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information

Multiscale identification of buildings in compressed large aerial scenes

Preserving contours in dual pyramids

Breast ultrasound images gland segmentation

An integral criterion for detecting boundary edges and textured regions

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors

Towards breast ultrasound image segmentation using multi-resolution pixel descriptors