A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification

Published:2022-06-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE World AI IoT Congress (AIIoT)
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Author:

Maaliw Renato R.¹,Susa Julie Ann B.¹,Alon Alvin S.²,Lagman Ace C.³,Ambat Shaneth C.³,Garcia Manuel B.³,Piad Keno C.⁴,Fernando - Raguro Ma. Corazon³

Affiliation:

1. College of Engineering Southern Luzon State University,Lucban,Quezon,Philippines

2. Digital Transformation Center Batangas State University,Batangas City,Philippines

3. FEU Institute of Technology,Information Technology Dept.,Manila,Philippines

4. Bulacan State University,Information Technology Dept.,Malolos,Bulacan,Philippines

Funder

Commission on Higher Education (CHED)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817098/9817144/09817290.pdf?arnumber=9817290

Reference37 articles.

1. Residual U-Net for Retinal Vessel Segmentation

2. A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images

3. Road Extraction by Deep Residual U-Net

4. A Brief Review of Independent, Dependent and One Sample t-test

5. Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays

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