4.7 Article

Radiomics in Breast Imaging: Future Development

Journal

JOURNAL OF PERSONALIZED MEDICINE
Volume 13, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/jpm13050862

Keywords

radiomics; breast imaging; artificial intelligence

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Breast cancer is the most common non-skin cancer in women and is influenced by habits and heredity. Regular screening, particularly through mammography, is crucial for early detection and increased chances of survival. Innovative techniques using artificial intelligence, such as radiomics, have shown promise in improving the quality of diagnosis for breast cancer.
Breast cancer is the most common and most commonly diagnosed non-skin cancer in women. There are several risk factors related to habits and heredity, and screening is essential to reduce the incidence of mortality. Thanks to screening and increased awareness among women, most breast cancers are diagnosed at an early stage, increasing the chances of cure and survival. Regular screening is essential. Mammography is currently the gold standard for breast cancer diagnosis. In mammography, we can encounter problems with the sensitivity of the instrument; in fact, in the case of a high density of glands, the ability to detect small masses is reduced. In fact, in some cases, the lesion may not be particularly evident, it may be hidden, and it is possible to incur false negatives as partial details that may escape the radiologist's eye. The problem is, therefore, substantial, and it makes sense to look for techniques that can increase the quality of diagnosis. In recent years, innovative techniques based on artificial intelligence have been used in this regard, which are able to see where the human eye cannot reach. In this paper, we can see the application of radiomics in mammography.

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