Breast cancer risk prediction by combining radiographic features and transcriptomic data using the Malmö Breast ImaginG database
Mammography screening aims at reducing breast cancer mortality through early detection. Breast cancers that are missed or masked during the regular screening are often detected at later stages. Understanding the biology of different types of breast cancer in relation to the mammographic features will aid in early detection consequently improving the patient prognosis. To formulate radiological ris
