Manuel B. Garcia is a professor of information technology and the founding director of the Educational Innovation and Technology Hub (EdITH) at FEU Institute of Technology, Manila, Philippines. Read More

Contact Info

1607, FEU Tech Building,
P. Paredes St, Sampaloc,
Manila, Philippines
mbgarcia@feutech.edu.ph

Follow Me

A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification
Conference Papers

A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification

2022 IEEE World AI IoT Congress (AIIoT), pages 111-117, (2022)

doi 10.1109/AIIoT54504.2022.9817290 | Citations: 37

, , , , , , ,

This is a post-peer-review, pre-copyedit version of an article published in the proceedings of the 2022 IEEE World AI IoT Congress (AIIoT). The final authenticated version is available online at: https://doi.org/10.1109/AIIoT54504.2022.9817290.

Loading pdf file, please wait...

Open in a new tab

Cite this paper

Maaliw III, R. R., Susa, J. A. B., Alon, A. S., Lagman, A. C., Ambat, S. C., Garcia, M. B., Keno C. Piad, ., & Fernando, M. C. G. (2022). A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification. 2022 IEEE World AI IoT Congress (AIIoT), 111-117. https://doi.org/10.1109/AIIoT54504.2022.9817290.

Download Citation

Authors

Maaliw III, Renato. R.

College of Engineering

Southern Luzon State University, Philippines

iD 0000-0002-7310-2708

Susa, Julie Ann B.

College of Engineering

Southern Luzon State University, Philippines

Alon, Alvin S.

Digital Transformation Center

Batangas State University, Philippines

Lagman, Ace C.

College of Computer Studies

FEU Institute of Technology, Philippines

Ambat, Shaneth C.

College of Computer Studies

FEU Institute of Technology, Philippines

Garcia, Manuel B.

College of Computer Studies

FEU Institute of Technology, Philippines

iD 0000-0003-2615-422X

Keno C. Piad

Information Technology Department

Bulacan State University, Philippines

Fernando, Ma. Corazon G.

College of Computer Studies

FEU Institute of Technology, Philippines

iD 0000-0003-3094-5438


Google Scholar

~

Citations

h-index

i10-index

All

2185

33

70

Since 2019

2178

33

70