Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning-Reference-Cited by-同舟云学术

Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
language:
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Author:

Ramos Jonathan S.¹,de Aguiar Erikson J.¹,Belizario Ivar V.¹,Costa Marcus V. L.¹,Maciel Jamilly G.²,Cazzolato Mirela T.¹,Traina Caetano¹,Nogueira-Barbosa Marcello H.²,Traina Agma J. M.¹

Affiliation:

1. Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP),São Carlos,SP,BR,13566-590

2. Ribeirão Preto Medical School (FMRP), University of São Paulo (USP),Ribeirão Preto,SP,BR,14048-900

Funder

São Paulo Research Foundation - FAPESP

CAPES

National Council for Scientific and Technological Development - CNPq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866947/9866899/09867008.pdf?arnumber=9867008

Reference18 articles.

1. Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg

2. 3D Slicer: A Platform for Subject-Specific Image Analysis, Visualization, and Clinical Support

3. Computational Radiomics System to Decode the Radiographic Phenotype

4. Texture unit, texture spectrum, and texture analysis;he;IEEE Trans Geosc Rem Sens,1990

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