Objective Over the past years, the application of artificial intelligence (AI) in medicine has
increased rapidly, especially in diagnostics, and in the near future, the role of AI in medicine …

As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

Cervical cancer is one of the most common cancers with a long latent period and slow onset
process. Early and accurate identification of the stage of cervical cancer can significantly …

Objectives Accurate prediction of prognosis will help adjust or optimize the treatment of
cervical cancer and benefit the patients. We aimed to investigate the incremental value of …

This study aimed to assess the feasibility of using magnetic resonance imaging (MRI)-based
Delta radiomics characteristics extrapolated from the Ax LAVA+ C series to identify …

Objective To evaluate the performance of 18F-fluorodeoxyglucose positron emission
tomography (18F-FDG PET/CT) radiomic features to predict overall survival (OS) in patients …

BACKGROUND: Pancreatic cancer is one of the most aggressive cancers with approximate
10% five-year survival rate. To reduce mortality rate, accurate detection and diagnose of …

Background and purpose To establish and validate a hybrid radiomics model to predict
overall survival in cervical cancer patients receiving concurrent chemoradiotherapy (CCRT) …

Classification is one of the most well-known data mining branches used in diverse domains
and fields. In the literature, many different classification techniques, such as …

Image recognition based on deep learning generally demands a huge sample size for
training, for which the image labeling becomes inevitably laborious and time-consuming. In …