Using machine learning to classify image features from canine pelvic radiographs: Evaluation of partial least squares discriminant analysis and artificial neural network models

Veterinary Radiology and Ultrasound

Volumn 54, Issue 2, 2013, Pages 122-126

  Mcevoy, Fintan J ^a   Amigo, José M ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Image classification; Logistic regression; Neural network; Partial least squares discriminant analysis

Indexed keywords

ANIMAL; ANIMAL DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER ASSISTED DIAGNOSIS; DISCRIMINANT ANALYSIS; DOG; EVALUATION; HIP; HISTOLOGY; METHODOLOGY; PELVIS; RADIOGRAPHY; REGRESSION ANALYSIS;

ANIMALS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; DOGS; HIP JOINT; LEAST-SQUARES ANALYSIS; NEURAL NETWORKS (COMPUTER); PELVIS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 84875052509     PISSN: 10588183     EISSN: 17408261     Source Type: Journal    
DOI: 10.1111/vru.12003     Document Type: Article

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