A comprehensive survey to study the utilities of image segmentation methods in clinical routine

RK Mohapatra, L Jolly, DC Lyngdoh… - … Modeling Analysis in …, 2023 - Springer
The clinicians usually desire to know the shape of the liver during treatment planning to
minimize the damage to the surrounding healthy tissues and hepatic vessels, thus, building …

Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network

ZH Bo, H Qiao, C Tian, Y Guo, W Li, T Liang, D Li… - Patterns, 2021 - cell.com
Intracranial aneurysm (IA) is an enormous threat to human health, which often results in
nontraumatic subarachnoid hemorrhage or dismal prognosis. Diagnosing IAs on commonly …

Multiple regulation and targeting effects of borneol in the neurovascular unit in neurodegenerative diseases

N Chen, J Wen, Z Wang, J Wang - Basic & Clinical …, 2022 - Wiley Online Library
Efficient delivery of brain‐targeted drugs is highly important for the success of therapies in
neurodegenerative diseases. Borneol has several biological activities, such as anti …

StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm

M Irfan, KM Malik, J Ahmad, G Malik - Computerized Medical Imaging and …, 2023 - Elsevier
Intracranial Aneurysms (IA) present a complex challenge for neurosurgeons as the risks
associated with surgical intervention, such as Subarachnoid Hemorrhage (SAH) mortality …

Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clip**

SP Dakua, J Abinahed, A Zakaria… - International Journal of …, 2019 - Springer
Background and objectives Surgical procedures such as laparoscopic and robotic surgeries
are popular since they are invasive in nature and use miniaturized surgical instruments for …

Pretrained subtraction and segmentation model for coronary angiograms

Y Zeng, H Liu, J Hu, Z Zhao, Q She - Scientific Reports, 2024 - nature.com
This study introduces a novel self-supervised learning method for single-frame subtraction
and vessel segmentation in coronary angiography, addressing the scarcity of annotated …

A diagnosis model for detection and classification of diabetic retinopathy using deep learning

SR Syed, SD MA - Network Modeling Analysis in Health Informatics and …, 2023 - Springer
Diabetes mellitus (DM) is an immense progressive disease that affects the usage of blood
glucose as energy, resulting in surplus glucose in the blood. If prolonged diabetes, it causes …

Hypoxia-based classification and prognostic signature for clinical management of hepatocellular carcinoma

K Li, Y Yang, M Ma, S Lu, J Li - World Journal of Surgical Oncology, 2023 - Springer
Objective Intratumoral hypoxia is an essential feature of hepatocellular carcinoma (HCC).
Herein, we investigated the hypoxia-based heterogeneity and relevant clinical implication in …

Real-time detection of track fasteners based on object detection and FPGA

T **ao, T Xu, G Wang - Microprocessors and Microsystems, 2023 - Elsevier
An accurate and fast fasteners detection is of great significance for improving the inspection
efficiency of railway tracks. However, the task is also challenging due to the limited memory …

Comprehensive assessment of imaging quality of artificial intelligence-assisted compressed sensing-based MR images in routine clinical settings

A Karthik, K Aggarwal, A Kapoor, D Singh, L Hu… - BMC Medical …, 2024 - Springer
Background Conventional MR acceleration techniques, such as compressed sensing,
parallel imaging, and half Fourier often face limitations, including noise amplification …