Deep learning classification of cardiomegaly using combined imaging and non-imaging ICU data
In this paper, we investigate the classification of cardiomegaly using multimodal data, combining imaging data from chest radiography with routinely collected Intensive Care Unit (ICU) data comprising vital sign values, laboratory measurements, and admission metadata. In practice a clinician would a...
Main Authors: | Grant, D, Papież, BW, Parsons, G, Tarassenko, L, Mahdi, A |
---|---|
Other Authors: | Papiez, BW |
Format: | Conference item |
Language: | English |
Published: |
Springer
2021
|
Similar Items
-
Multimodal cardiomegaly classification with image-derived digital biomarkers
by: Duvieusart, B, et al.
Published: (2022) -
Deep learning‐based high‐dimensional multiple regression estimator for chest x‐ray image classification in rapid cardiomegaly screening
by: Pi‐Yun Chen, et al.
Published: (2023-08-01) -
Massive pleural effusion and cardiomegaly
by: Min-Ji Son, et al.
Published: (2023-11-01) -
A convolutional attention mapping deep neural network for classification and localization of cardiomegaly on chest X-rays
by: Mohammed Innat, et al.
Published: (2023-04-01) -
Learning to restore multiple image degradations simultaneously
by: Zhang, L, et al.
Published: (2022)