Radiology is the backbone of cancer diagnosis and management. Traditionally the radiologic diagnosis is made by human and visual evaluation of the images, but this approach has some limitations. Usually, the human radiologist uses a few features (e.g. the size of lesion, density, sharpness of the lesion, and the enhancement after contrast injection). However, the medical images contain much more information that is not visible by the naked human eyes. In this context, Radiomics has great momentum in the oncologic imaging field. In Radiomics, medical images are analyzed by the software, and hundreds and thousands of different features are extracted from the medical images and lesions.

References

Citation

Citation: Houman Sotoudeh. “Radiomics in Oncology”. Acta Scientific Cancer Biology 5.3 (2021): 01-02.

Copyright

Copyright: © 2021 Houman Sotoudeh., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.