Abstract
In this study, we propose a Convolutional Neural Network (CNN) with an assembly of non-linear fully connected layers for estimating body height and weight using a limited amount of data. This method can predict the parameters within acceptable clinical limits for most of the cases even when trained with limited data.
| Original language | English |
|---|---|
| Title of host publication | Caring is Sharing - Exploiting the Value in Data for Health and Innovation |
| Subtitle of host publication | Proceedings of MIE 2023 |
| Editors | Maria Hagglund, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindskold, Parisis Gallos |
| Publisher | IOS Press |
| Pages | 364-365 |
| Number of pages | 2 |
| Volume | 302 |
| Edition | 1 |
| ISBN (Electronic) | 9781643683881 |
| ISBN (Print) | 9781643683881 |
| DOIs | |
| Publication status | Published - 18 May 2023 |
| Event | 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Swedish Exhibition & Congress Centre, Gothenburg, Sweden Duration: 22 May 2023 → 25 May 2023 Conference number: 33 https://www.mie2023.org/home-page |
Publication series
| Series | Studies in Health Technology and Informatics |
|---|---|
| Volume | 302 |
| ISSN | 0926-9630 |
Conference
| Conference | 33rd Medical Informatics Europe Conference |
|---|---|
| Abbreviated title | MIE2023 |
| Country/Territory | Sweden |
| City | Gothenburg |
| Period | 22/05/23 → 25/05/23 |
| Internet address |
Keywords
- CNN
- Deep Learning
- Electronic Health Records (EHRs)
- Height
- Weight
Fingerprint
Dive into the research topics of 'Deep Learning Method for Estimation of Morphological Parameters Based on CT Scans'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver