The components of early detection of cancer are early diagnosis and screening. Early diagnosis focuses on detecting symptomatic patients as early as possible while screening tests healthy individuals to identify those having cancers before symptoms appear.
The cancer type’s early diagnosis and prognosis have become necessary in cancer research. Indeed, it can facilitate the subsequent clinical management of patients.
The ability of Machine Learning tools to detect critical features from complex datasets reveals their importance in cancer diagnosis.
Here are some examples of cancer diagnosis solved using Neural Designer. Download the free trial to follow them step by step.