A literature review on deep learning algorithms for analysis of X-ray images

G Seyfi, E Esme, M Yilmaz, MS Kiran - International Journal of Machine …, 2024 - Springer
Since the invention of the X-ray beam, it has been used for useful applications in various
fields, such as medical diagnosis, fluoroscopy, radiation therapy, and computed …

Occluded prohibited object detection in X-ray images with global Context-aware Multi-Scale feature Aggregation

C Ma, L Zhuo, J Li, Y Zhang, J Zhang - Neurocomputing, 2023 - Elsevier
Abstract Prohibited Object Detection (POD) in X-ray images plays an important role in
protecting public safety. Automatic and accurate POD is required to relieve the working …

Detect occluded items in X-ray baggage inspection

B Wang, Y Tian, J Wang, J Hu, D Liu, Z Xu - Computers & Graphics, 2023 - Elsevier
X-ray baggage inspection automatically determines whether there are prohibited items in
passenger luggage and has recently achieved good progress due to the development of …

Gadet: A geometry-aware x-ray prohibited items detector

M Li, B Ma, H Wang, D Chen, T Jia - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
X-ray prohibited items detection is an essential and highly effective method that has been
widely used in inspection scenarios. To satisfy the practical demand for high accuracy in …

X-ray image analysis for explosive circuit detection using deep learning algorithms

G Seyfi, M Yilmaz, E Esme, MS Kiran - Applied Soft Computing, 2024 - Elsevier
X-ray imaging technologies find applications across various domains, including medical
imaging in health institutions or security in military facilities and public institutions. X-ray …

Ao-detr: Anti-overlapping detr for x-ray prohibited items detection

M Li, T Jia, H Wang, B Ma, H Lu, S Lin… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Prohibited item detection in X-ray images is one of the most essential and highly effective
methods widely employed in various security inspection scenarios. Considering the …

Seeing through the data: A statistical evaluation of prohibited item detection benchmark datasets for X-ray security screening

BKS Isaac-Medina, S Yucer… - Proceedings of the …, 2023 - openaccess.thecvf.com
The rapid progress in automatic prohibited object detection within the context of X-ray
security screening, driven forward by advances in deep learning, has resulted in the first …

Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection

F Yang, R Jiang, Y Yan, JH Xue… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the recent advance of deep learning, a large number of methods have been developed
for prohibited item detection in X-ray security images. Generally, these methods train models …

MFA-net: Object detection for complex X-ray cargo and baggage security imagery

T Viriyasaranon, SH Chae, JH Choi - Plos one, 2022 - journals.plos.org
Deep convolutional networks have been developed to detect prohibited items for automated
inspection of X-ray screening systems in the transport security system. To our knowledge …

X-ray security inspection image dangerous goods detection algorithm based on improved yolov4

X Yu, W Yuan, A Wang - Electronics, 2023 - mdpi.com
Aiming at the problems of multi-scale and serious overlap of dangerous goods in X-ray
security-inspection-image samples, an X-ray dangerous-goods-detection algorithm with …