Lung cancer is the deadliest cancer worldwide. Tissue biopsy is currently employed for the
diagnosis and molecular stratification of lung cancer. Liquid biopsy is a minimally invasive …

This study presents a comprehensive systematic review focusing on the applications of deep
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …

Deep learning (DL) is a breakthrough technology for medical imaging with high sample size
requirements and interpretability issues. Using a pretrained DL model through a radiomics …

Background Accurate segmentation of pulmonary nodules on computed tomography (CT)
scans plays a crucial role in the evaluation and management of patients with suspicion of …

Introduction In the last decade, two new radionuclide-based therapies, 223Radichloride and
radioligand therapy (RLT) targeting prostate-specific membrane antigen (PSMA), have been …

In this paper, we investigate the role of shape and texture features from 18 F-FDG PET/CT to
discriminate between benign and malignant solitary pulmonary nodules. To this end, we …

Simple Summary The present review was performed in order to provide a comprehensive
overview of the existing literature concerning the applications of positron emission …

Radiomics analysis quantifies the interpolation of multiple and invisible molecular features
present in diagnostic and therapeutic images. Implementation of 18-fluorine …

Radiogenomic and radiotranscriptomic studies have the potential to pave the way for a
holistic decision support system built on genomics, transcriptomics, radiomics, deep features …

Lung cancer is the leading cause of cancer-related deaths around the world, the most
common type of which is non-small-cell lung cancer (NSCLC). Computed tomography (CT) …