Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems-Reference-Cited by-同舟云学术

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Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems

Published:2024-10 Issue: Volume:178 Page:105377
ISSN:0034-5288
Container-title:Research in Veterinary Science
language:en
Short-container-title:Research in Veterinary Science

Author:

Valente Carlotta,Wodzinski Marek,Guglielmini Carlo,Poser Helen,Chiavegato David,Zotti Alessandro,Venturini Roberto,Banzato Tommaso

Funder

Ministero dell'Istruzione dell'Universita e della Ricerca

Publisher

Elsevier BV

Reference16 articles.

1. An AI based algorithm for the automatic classification of thoracic radiographs in cats;Banzato;Front. Vet. Sci.,2021

2. Automatic classification of canine thoracic radiographs using deep learning;Banzato;Sci. Rep.,2021

3. Historical review, epidemiology and natural history of degenerative mitral valve disease;Borgarelli;J. Vet. Cardiol.,2012

4. Effect of Pimobendan in dogs with preclinical Myxomatous mitral valve disease and cardiomegaly: the EPIC study-a randomized clinical trial;Boswood;J. Vet. Intern. Med.,2016

5. Allometric scaling of M-mode cardiac measurements in normal adult dogs;Cornell;J. Vet. Intern. Med.,2004

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