An extensive review on deep learning and machine learning intervention in prediction and classification of types of aneurysms
RA Sinnaswamy, N Palanisamy… - Wireless Personal …, 2023 - Springer
Aneurysm (Rupture of blood vessels) may happen in the cerebrum, abdominal aorta and
thoracic aorta of humans, which has a high fatal rate. The advancement of the artificial …
thoracic aorta of humans, which has a high fatal rate. The advancement of the artificial …
Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net
We delineate abdominal aortic aneurysms, including lumen and intraluminal thrombosis
(ILT), from contrast-enhanced computed tomography angiography (CTA) data in 70 patients …
(ILT), from contrast-enhanced computed tomography angiography (CTA) data in 70 patients …
Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy
Oral capillaroscopy is a critical and non-invasive technique used to evaluate
microcirculation. Its ability to observe small vessels in vivo has generated significant interest …
microcirculation. Its ability to observe small vessels in vivo has generated significant interest …
[HTML][HTML] Deep-learning method for fully automatic segmentation of the abdominal aortic aneurysm from computed tomography imaging
A Abdolmanafi, A Forneris, RD Moore… - Frontiers in …, 2023 - frontiersin.org
Abdominal aortic aneurysm (AAA) is one of the leading causes of death worldwide. AAAs
often remain asymptomatic until they are either close to rupturing or they cause pressure to …
often remain asymptomatic until they are either close to rupturing or they cause pressure to …
Artificial intelligence application to screen abdominal aortic aneurysm using computed tomography angiography
The aim of our study is to validate a totally automated deep learning (DL)-based
segmentation pipeline to screen abdominal aortic aneurysms (AAA) in computed …
segmentation pipeline to screen abdominal aortic aneurysms (AAA) in computed …
A lightweight convolutional neural network based on dense connection for open-pit coal mine service identification using the edge-cloud architecture
Y Liu, J Zhang - Journal of Cloud Computing, 2023 - Springer
Remote sensing is an important technical tool for rapid detection of illegal mining behavior.
Due to the complex features of open-pit coal mines, there are few studies about automatic …
Due to the complex features of open-pit coal mines, there are few studies about automatic …
DWS-YOLO: A Lightweight Detector for Blood Cell Detection
Y Mao, H Zhang, W Wu, X Gao, Z Lin… - Applied Artificial …, 2024 - Taylor & Francis
Peripheral blood cell detection is an essential component of medical practice and is used to
diagnose and treat diseases, as well as to monitor the progress of therapies. Our objective is …
diagnose and treat diseases, as well as to monitor the progress of therapies. Our objective is …
[PDF][PDF] Bu acavoli
Oral capillaroscopy is a critical and non-invasive technique used to evaluate
microcirculation. Its ability to observe small vessels in vivo has generated significant interest …
microcirculation. Its ability to observe small vessels in vivo has generated significant interest …
[HTML][HTML] Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments
Determining the height of plume clouds is crucial for various applications, including global
climate models. Smokestack plume rise refers to the altitude at which the plume cloud …
climate models. Smokestack plume rise refers to the altitude at which the plume cloud …
Abdominal Aortic Thrombus Segmentation in Postoperative Computed Tomography Angiography Images Using Bi-Directional Convolutional Long Short-Term …
Abdominal aortic aneurysm (AAA) is a fatal clinical condition with high mortality. Computed
tomography angiography (CTA) imaging is the preferred minimally invasive modality for the …
tomography angiography (CTA) imaging is the preferred minimally invasive modality for the …