Latest AI and machine learning research in lymphoma for healthcare professionals.
Higher heating value (HHV) is one of the most important parameters in determining the quality of the...
PURPOSE: This study aims to evaluate the clinical performance of a deep learning (DL)-enhanced two-f...
BACKGROUND: The most common route of breast cancer metastasis is through the mammary lymphatic netwo...
Herin, a new nanohybrid acid catalyst was fabricated for the efficient biodiesel production. At the ...
PURPOSE: The objective of this study was to preliminarily assess the ability of metabolic parameters...
Removal of perfluorooctanoic acid (PFOA) from water matrices is crucial owing to its pervasiveness a...
Graph Neural Networks (GNNs) have demonstrated remarkable success in graph node classification task....
Epilepsy surgery is effective for patients with medication-resistant seizures, however 20-40% of the...
RATIONALE AND OBJECTIVES: To build a risk stratification by incorporating PET/CT-based deep learning...
PURPOSE: Sequential PET/CT studies oncology patients can undergo during their treatment follow-up co...
The goal is to enhance an automated sleep staging system's performance by leveraging the diverse sig...
Accurate intraoperative differentiation of primary central nervous system lymphoma (PCNSL) remains p...
PURPOSE: To investigate the possibility of distinguishing between IgG4-related ophthalmic disease (I...
Reliable classification of sleep stages is crucial in sleep medicine and neuroscience research for p...
Despite its superior soft tissue contrast and non-invasive nature, MRI requires long scan times due ...
BACKGROUND: Cervical lymph node metastasis (LNM) is an important prognostic factor for patients with...
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical appli...
Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor ...
The recurrence of low-stage lung cancer poses a challenge due to its unpredictable nature and divers...
To assess the impact of a deep learning (DL) denoising reconstruction algorithm applied to identical...
PURPOSE: To develop and validate a pathomics signature for predicting the outcomes of Primary Centra...