Latest AI and machine learning research in lymphoma for healthcare professionals.
This paper considers the problems of modeling and predicting a long-term and "blurry" relapse that o...
BACKGROUND AND OBJECTIVE: Currently, it is challenging to detect acute ischemic stroke (AIS)-related...
Twelve to 66% of patients with clinically non-functioning pituitary adenoma (NFPA) experience tumor ...
PURPOSE: This study aimed to investigate the deep learning model (DLM) combining computed tomography...
In order to have research on the deformation characteristics and mechanical properties of human red ...
BACKGROUND: Sarcopenia has been confirmed as a poor prognostic indicator of lung cancer. However, th...
Accurate segmentation of brain magnetic resonance imaging (MRI) is an essential step in quantifying ...
Cerebral computed tomography angiography is a widely available imaging technique that helps in the d...
Artifacts caused by patient breathing and movement during PET data acquisition affect image quality....
Removing dissolved organic matter (DOM) with polyaluminium chloride is one of the primary goals of d...
The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, acad...
Long non-coding RNAs (lncRNAs) play crucial roles in diverse biological processes and human complex ...
At present, the traditional scoring methods generally utilize laboratory measurements to predict mor...
Myocardial perfusion (MP) PET imaging plays a key role in risk assessment and stratification of pati...
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...
BACKGROUND: Precise volumetric assessment of brain tumors is relevant for treatment planning and mon...
The primary cone-beam computed tomography (CBCT) imaging beam scatters inside the patient and produc...
In this paper, we propose an elegant solution that is directly addressing the bottlenecks of the tra...
Graph neural networks (GNNs) have emerged recently as a powerful architecture for learning node and ...
Scar tissues have been important factors in determining the progression of myocardial diseases and t...