Advances In Machine Learning For Computer-aided Diagnosis In Biomedical Imaging — Volume 2

This article discusses the importance of early detection and diagnosis in improving the survival rate for cancer patients. It highlights the limitations of human interpretation in medical imaging and the need for computer-aided diagnosis (CAD) systems as a second opinion. The article focuses on advanced CAD methods that use artificial intelligence (AI) approaches in various imaging modalities to aid in the diagnosis and prognosis of cancer.