NDLI: Echocardiogram view classification with appearance and spatial distributions

Content Provider	IEEE Xplore Digital Library
Author	Gupta, R. Chaudhury, S. Subramanian, N. Govind, S.
Copyright Year	2015
Description	Author affiliation: Indian Inst. of Technol. Delhi, New Delhi, India (Gupta, R.; Chaudhury, S.) \|\| Narayana Inst. of Cardiac Sci., Bangalore, India (Govind, S.) \|\| GE Global Res., Bangalore, India (Subramanian, N.)
Abstract	When imaging the heart, using a 2D ultrasound probe, different views can manifest depending on the location and angulations of the probe. Some of these views have been labeled as standard views, due to the presentation and ease of assessment of key cardiac structures in them. We present an approach for automatic recognition and classification of these standard views, as a potential enabler for automated measurements or detection of noise - all without a human in the loop. We present an approach for view classification, Spatial Pyramid Histogram of Words which successfully models the appearance and shape distributions of object class. We demonstrate the effectiveness of this technique for the task of discrimination between the B-mode Parasternal Long Axis (PLAX) and the Short Axis (SAX) echocardiograms. For this task, our method shows a classification accuracy of 98.3% on an exhaustive database of 703 ultrasound images.
Starting Page	655
Ending Page	658
File Size	2065313
Page Count	4
File Format	PDF
ISBN	9781479923748
DOI	10.1109/ISBI.2015.7163958
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Ultrasonic imaging Histograms Feature extraction Kernel Noise Vocabulary View classification Bag of words Correlogram Spatial Pyramid Matching Kernel
Content Type	Text
Resource Type	Article

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

Image classification based on local spatial pyramid Kernel

Semantic-Spatial Matching for image classification

Image classification with visual words co-occurence matrix

Scene Classification Using Spatial Pyramid of Latent Topics

Spatial String Matching for Image Classification

Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context

Improving Bag-of-Words model with spatial information

Robust tracking with spatial pyramid histogram

Kernel Sparse Representation Classifier with Center Enhanced SPM for Vehicle Classification

Echocardiogram view classification with appearance and spatial distributions

Similar Documents

Image classification based on local spatial pyramid Kernel

Semantic-Spatial Matching for image classification

Image classification with visual words co-occurence matrix

Scene Classification Using Spatial Pyramid of Latent Topics

Spatial String Matching for Image Classification

Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context

Improving Bag-of-Words model with spatial information

Robust tracking with spatial pyramid histogram

Kernel Sparse Representation Classifier with Center Enhanced SPM for Vehicle Classification

Echocardiogram view classification with appearance and spatial distributions