Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm

X Pang, YF Ge, K Wang, AJM Traina… - Health Information Science …, 2023 - Springer
Integrating Internet technologies with traditional healthcare systems has enabled the
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

Y Chen, S Han, G Chen, J Yin, KN Wang… - … Information Science and …, 2023 - Springer
Wireless body area network (WBAN) is widely adopted in healthcare services, providing
remote real-time and continuous healthcare monitoring. With the massive increase of …

Graph intelligence enhanced bi-channel insider threat detection

W Hong, J Yin, M You, H Wang, J Cao, J Li… - … Conference on Network …, 2022 - Springer
For an organization, insider intrusion generally poses far more detrimental threats than
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 …

Elastic optimization for stragglers in edge federated learning

K Sultana, K Ahmed, B Gu… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
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 …

A Review of Artificial Intelligence in Breast Imaging

D Al-Karawi, S Al-Zaidi, KA Helael, N Obeidat… - Tomography, 2024 - mdpi.com
With the increasing dominance of artificial intelligence (AI) techniques, the important
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

AM Alvi, S Siuly, MC De Cola, H Wang - International Conference on …, 2022 - Springer
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 …

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 …

Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics

X Zhang, G Zhang, X Qiu, J Yin, W Tan, X Yin… - … Conference on Health …, 2023 - Springer
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 …

HOCM-Net: 3D coarse-to-fine structural prior fusion based segmentation network for the surgical planning of hypertrophic obstructive cardiomyopathy

J Zhang, X Wang, H Qiu, Y Zhang, W Han… - Expert Systems with …, 2024 - Elsevier
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 …