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Introduction Breast cancer is one of the major causes of death in women around the world.Radio-genomics provide both radiological and genetic features that can enhance diagnosis.According to the authors in [1], breast cancer can be detected using several methods including X-ray mammography, ultrasound (US), computed tomography (CT), portion emission tomography (PET), magnetic resonance imaging (MRI) and breast temperature measurement.As for genomics, the authors in [2] stated that radio-genomics is an emerging research field focusing on multi-scale associations between medical imaging and gene expression data.The main difference between imaging information and radio-genomics is the critical knowledge gap between imaging at the tissue level and analyzing the underlying molecular and genetic disease biomarkers.While radio-genomics is much more effective than histopathological imaging, it is rarely used because the process involves datasets that are very expensive and require high computational power.In cases of in-situ carcinoma, the cancer is only in the mammary duct lobule system and does not affect other organs.This involves an image analysis of the removed tissue, which is stained in the lab to increase visibility.

Introduction
Breast cancer is one of the major causes of death in women around the world. According to the American cancer society, 41,760 women and more than 500 men died from breast cancer recently.1 Breast cancer occurs in four main types: normal, benign, in-situ carcinoma and invasive carcinoma [1]. A benign tumor involves a minor change in the breast structure. It is not harmful and does not classify as a harmful cancer. In cases of in-situ carcinoma, the cancer is only in the mammary duct lobule system and does not affect other organs. This type is not dangerous and can be treated if diagnosed early. Invasive carcinoma is considered to be the most dangerous type of breast cancer, as it can spread to all other organs. According to the authors in [1], breast cancer can be detected using several methods including X-ray mammography, ultrasound (US), computed tomography (CT), portion emission tomography (PET), magnetic resonance imaging (MRI) and breast temperature measurement. Usually, the golden standard is a pathological diagnosis for detecting breast cancer. This involves an image analysis of the removed tissue, which is stained in the lab to increase visibility. Hematoxylin and eosin (H&E) are commonly used for the staining process. Breast cancer can be diagnosed using one of two approaches: histopathological image analysis or genomics. Histopathological images are microscopic images of breast tissue that are extremely useful in early treatment of the cancer. As for genomics, the authors in [2] stated that radio-genomics is an emerging research field focusing on multi-scale associations between medical imaging and gene expression data.
Radio-genomics provide both radiological and genetic features that can enhance diagnosis. It can analyze tissues at the molecular level, helping with prediction and early detection of cancer. The main difference between imaging information and radio-genomics is the critical knowledge gap between imaging at the tissue level and analyzing the underlying molecular and genetic disease biomarkers. As imaging is less precise, it may lead to over- or under-treatment. While radio-genomics is much more effective than histopathological imaging, it is rarely used because the process involves datasets that are very expensive and require high computational power. As a result, a limited number of labs conduct radio-genomics experiments [2].