A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection.
Masateru KawakuboHiroto WakiTakashi ShirasakaTsukasa KojimaRyoji MikayamaHiroshi HamasakiHiroshi AkamineToyoyuki KatoShingo BabaShin UshiroKousei IshigamiPublished in: Int. J. Comput. Assist. Radiol. Surg. (2023)
Keyphrases
- x ray
- human visual
- chest radiographs
- three dimensional
- digital x ray images
- image database
- image data
- intraoperative
- x ray images
- ground truth
- low dose
- transmission electron microscopy
- test images
- image registration
- image features
- input image
- object recognition
- deep learning
- multiple images
- multiscale
- segmentation method
- video frames
- medical imaging
- natural images
- image classification
- similarity measure