Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis

Hidetaka Arimura, Mazen Soufi, Kenta Ninomiya, Hidemi Kamezawa, Masahiro Yamada

Research output: Contribution to journalReview articlepeer-review

14 Citations (Scopus)


Computer-aided diagnosis (CAD) is a field that is essentially based on pattern recognition that improves the accuracy of a diagnosis made by a physician who takes into account the computer’s “opinion” derived from the quantitative analysis of radiological images. Radiomics is a field based on data science that massively and comprehensively analyzes a large number of medical images to extract a large number of phenotypic features reflecting disease traits, and explores the associations between the features and patients’ prognoses for precision medicine. According to the definitions for both, you may think that radiomics is not a paraphrase of CAD, but you may also think that these definitions are “image manipulation”. However, there are common and different features between the two fields. This review paper elaborates on these common and different features and introduces the potential of radiomics for cancer diagnosis and treatment by comparing it with CAD.

Original languageEnglish
Pages (from-to)365-374
Number of pages10
JournalRadiological physics and technology
Issue number4
Publication statusPublished - Dec 1 2018

All Science Journal Classification (ASJC) codes

  • Radiation
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis'. Together they form a unique fingerprint.

Cite this