Medical imaging is the standard-of-care for early detection, diagnosis, treatment planning,
monitoring, and image-guided interventions of lung cancer patients. Most medical images …

Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …

Radiomics has become a popular image analysis method in the last few years. Its key
hypothesis is that medical images harbor biological, prognostic and predictive information …

Routine follow-up visits and radiographic imaging are required for outcome evaluation and
tumor recurrence monitoring. Yet more personalized surveillance is required in order to …

Since the discovery of X-rays at the end of the 19 th century, medical imageology has
progressed for 100 years, and medical imaging has become an important auxiliary tool for …

Radiomics is a promising and fast-developing field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …

Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Introduction Lung cancer ranks second in new cancer cases and first in cancer-related
deaths worldwide. Precision medicine is working on altering treatment approaches and …

Lung cancers exhibit strong phenotypic differences that can be visualized noninvasively by
medical imaging. Radiomics, a concept introduced in 2012, refers to the comprehensive …

Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50
years. As modern medicine is evolving towards precision medicine, offering personalized …