Non-parametric bootstrap ensembles for detection of tumor lesions

Journal article

Peer reviewed

Mireya Diaz, J SUNIL RAO and J. Sunil Rao

Pattern recognition letters, Vol.28(16), pp.2273-2283

2007

Abstract

Applied sciences

Biological and medical sciences

Computerized, statistical medical data processing and models in biomedicine

Exact sciences and technology

Information, signal and communications theory

Medical management aid. Diagnosis aid

Medical sciences

Pattern recognition

Signal and communications theory

Signal processing

Signal representation. Spectral analysis

Signal, noise

Telecommunications and information theory

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Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.61 Artificial Intelligence & Machine Learning; 4.61.145 Feature Selection
Web Of Science research areas: Computer Science, Artificial Intelligence
ESI research areas: Engineering

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Source: InCites

Title: Non-parametric bootstrap ensembles for detection of tumor lesions
Creators: Mireya Diaz - Case Western Reserve University
J SUNIL RAO - Case Western Reserve University
J. Sunil Rao - UMMG Department of Public Health Sciences Research
Publication Details: Pattern recognition letters, Vol.28(16), pp.2273-2283
Publisher: Elsevier
Academic Unit: Miller School of Medicine; UMMG Department of Public Health Sciences Research
Language: English
Resource Type: Journal article
Record Identifier: 991031713670802976