Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation.
Abdelfatah Hassan AhmedDivya VelayudhanTaimur HassanMohammed BennamounErnesto DamianiNaoufel WerghiPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- x ray
- medical imaging
- driven learning
- x ray images
- three dimensional
- digital x ray images
- image segmentation
- intraoperative
- poor contrast
- lung nodules
- ct scans
- ct volume
- electron microscopy
- decision trees
- segmentation method
- level set
- projection images
- transmission electron microscopy
- tomographic images
- document classification
- ct images
- ct and mr images
- accurate segmentation
- support vector
- segmentation algorithm
- mri scans
- machine learning
- unsupervised learning
- supervised learning
- active contours
- feature selection
- metal oxide
- medical images
- text classification
- energy function
- pre operative
- anatomical structures
- computed tomography