Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

Recent advancements in signal processing (SP) and machine learning, coupled with
electronic medical record kee** in hospitals and the availability of extensive sets of …

Purpose The aim of this systematic review was to analyse literature on artificial intelligence
(AI) and radiomics, including all medical imaging modalities, for oncological and non …

Recently, the concept of radiomics has emerged from radiation oncology. It is a novel
approach for solving the issues of precision medicine and how it can be performed, based …

Background and purpose Robust parameters are needed to predict lymph node metastasis
(LNM) in locally advanced cervical cancer patients in order to select optimal treatment …

Objective The aim of this study was to investigate whether pretherapeutic, multiparametric
magnetic resonance imaging (MRI) radiomic features can be used for predicting non …

Simple Summary Part I is an overview aimed to investigate some technical principles and
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …

Purpose To evaluate the value of multiparametric magnetic resonance imaging (MRI) in
pretreatment prediction of breast cancers insensitive to neoadjuvant chemotherapy (NAC) …

Background and purpose: Although patients with esophageal squamous cell carcinoma
(ESCC) can achieve a pathological complete response (pCR) after neoadjuvant …

Over the past decade, spectral or dual‐energy CT has gained relevancy, especially in
oncological radiology. Nonetheless, its use in the radiotherapy (RT) clinic remains limited …