Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm
Integrating Internet technologies with traditional healthcare systems has enabled the
emergence of cloud healthcare systems. These systems aim to optimize the balance …
emergence of cloud healthcare systems. These systems aim to optimize the balance …
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services
Wireless body area network (WBAN) is widely adopted in healthcare services, providing
remote real-time and continuous healthcare monitoring. With the massive increase of …
remote real-time and continuous healthcare monitoring. With the massive increase of …
Graph intelligence enhanced bi-channel insider threat detection
For an organization, insider intrusion generally poses far more detrimental threats than
outsider intrusion. Traditionally, insider threat is detected by analyzing logged user …
outsider intrusion. Traditionally, insider threat is detected by analyzing logged user …
The nnU-Net based method for automatic segmenting fetal brain tissues
Y Peng, Y Xu, M Wang, H Zhang, J **e - Health Information Science and …, 2023 - Springer
The magnetic resonance (MR) images of fetuses make it possible for doctors to detect out
pathological fetal brains in early stages. Brain tissue segmentation is prerequisite for making …
pathological fetal brains in early stages. Brain tissue segmentation is prerequisite for making …
Elastic optimization for stragglers in edge federated learning
To fully exploit enormous data generated by intelligent devices in edge computing, edge
federated learning (EFL) is envisioned as a promising solution. The distributed collaborative …
federated learning (EFL) is envisioned as a promising solution. The distributed collaborative …
A Review of Artificial Intelligence in Breast Imaging
With the increasing dominance of artificial intelligence (AI) techniques, the important
prospects for their application have extended to various medical fields, including domains …
prospects for their application have extended to various medical fields, including domains …
DRAM-Net: A deep residual Alzheimer's diseases and mild cognitive impairment detection network using EEG data
Abstract Mild Cognitive Impairment (MCI) and Alzheimer's diseases (AD) are two common
neurodegenerative disorders which belong to the dementia family mostly found in elders …
neurodegenerative disorders which belong to the dementia family mostly found in elders …
A multi-source heterogeneous medical data enhancement framework based on lakehouse
M Sheng, S Wang, Y Zhang, R Hao, Y Liang… - … Information Science and …, 2024 - Springer
Obtaining high-quality data sets from raw data is a key step before data exploration and
analysis. Nowadays, in the medical domain, a large amount of data is in need of quality …
analysis. Nowadays, in the medical domain, a large amount of data is in need of quality …
Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics
Objectives: Radiomics has a novel value in accurately and noninvasively characterizing non-
small cell lung cancer (NSCLC), but the role of peritumoral features has not been discussed …
small cell lung cancer (NSCLC), but the role of peritumoral features has not been discussed …
HOCM-Net: 3D coarse-to-fine structural prior fusion based segmentation network for the surgical planning of hypertrophic obstructive cardiomyopathy
Hypertrophic obstructive cardiomyopathy (HOCM) is a leading cause of sudden cardiac
death in young people, and septal myectomy surgery has been recognized as the gold …
death in young people, and septal myectomy surgery has been recognized as the gold …