Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …

Background Early diagnosis of tumor metastasis is crucial for clinical treatment. Artificial
intelligence (AI) has shown great promise in the field of medicine. We therefore aimed to …

Artificial intelligence (AI) is a growing field of research that is emerging as a promising
adjunct to assist physicians in detection and management of patients with cancer. 18 F-FDG …

Nasopharyngeal Carcinoma (NPC) is a malignant epithelial cancer arising from the
nasopharynx. Survival prediction is a major concern for NPC patients, as it provides early …

Simple Summary This review based on a literature search aims at showing the impact of
Texture Analysis in the prediction of response to neoadjuvant radiotherapy and/or …

Cancer remains a substantial worldwide health issue that requires careful and exact
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …

Objectives To build and evaluate a deep learning radiomics nomogram (DLRN) for
preoperative prediction of lung metastasis (LM) status in patients with soft tissue sarcoma …

Background Lung metastasis (LM) status is critical for making treatment decisions in soft‐
tissue sarcoma (STS) patients, yet magnetic resonance imaging (MRI)‐based prediction of …

Background: A variety of emerging medical imaging technologies based on artificial
intelligence have been widely applied in many diseases, but they are still limitedly used in …

Abstract 'Radiomics' is a method that extracts mineable quantitative features from
radiographic images. These features can then be used to determine prognosis, for example …