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D-BADGE: Decision-based adversarial batch attack with directional gradient estimation
The susceptibility of deep neural networks (DNNs) to adversarial examples has prompted an
increase in the deployment of adversarial attacks. Image-agnostic universal adversarial …
increase in the deployment of adversarial attacks. Image-agnostic universal adversarial …
The Role of Deep Learning in Aortic Aneurysm Segmentation and Detection from CT scans: A Systematic Review and Meta-analysis
Purpose: Deep learning algorithms have shown considerable promise in improving the
detection and segmentation of aortic aneurysms from computed tomography (CT) scans …
detection and segmentation of aortic aneurysms from computed tomography (CT) scans …
COMPUTED TOMOGRAPHIC ANGIOGRAPHY DATA SET CONTAINING ABDOMINAL AORTIC SEGMENTATION
MR Kodenko, YA Vasilev, AV Solovyov… - Digital …, 2025 - jdigitaldiagnostics.com
BACKGROUND: Artificial Intelligence (AI) is widely actively in radiology. The effectiveness of
AI algorithms essentially depends on the availability of relevant and representative training …
AI algorithms essentially depends on the availability of relevant and representative training …
Automated Segmentation and Diameter Measurement of Abdominal Aortic Aneurysms Using YOLOv8 on Optimally Selected Axial Abdominal CT Images
LK Alazzam - 2024 - search.proquest.com
Abdominal aortic aneurysm (AAA) is a dangerous cardiovascular condition characterized by
the dilation of the aorta to a diameter greater than 30 mm. AAAs are most common among …
the dilation of the aorta to a diameter greater than 30 mm. AAAs are most common among …