Latest AI and machine learning research in lymphoma for healthcare professionals.
Positron emission tomography (PET) imaging plays an indispensable role in early disease detection an...
PURPOSE: To evaluate the prognostic role of end-of-treatment (EoT) FDG-PET/CT parameters in diffuse ...
The study of morphological modularity using anatomical networks is growing in recent years. A common...
Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase in...
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multipar...
Patients with pancreatic cancer have a poor prognosis, therefore identifying particular tumor charac...
To detect false data injection attacks (FDIAs) in power grid reconstruction and solve the problem of...
In breast cancer, undetected lymph node metastases can spread to distal parts of the body for which ...
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classificatio...
BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel ly...
Non-invasive assessment of the risk of lymph node metastasis (LNM) in patients with papillary thyroi...
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact du...
PURPOSE: Cardiac MR cine imaging allows accurate and reproducible assessment of cardiac function. Ho...
Non-experts have long made important contributions to machine learning (ML) by contributing training...
BACKGROUND: This study prospectively assessed the diagnostic capacity of dynamic carbon-11 methionin...
PURPOSE: This study aimed to investigate the deep learning model (DLM) combining computed tomography...
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...
Myocardial perfusion (MP) PET imaging plays a key role in risk assessment and stratification of pati...
Graph neural networks (GNNs) have emerged recently as a powerful architecture for learning node and ...