Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. CaP growth is characterized by two main types of evolution: (i) slow-growing tumors progress slowly and usually remain confined to the prostate gland and (ii) fast-growing tumors metastasize from prostate gland to other organs, which might lead to incurable diseases. Therefore, early diagnosis and risk assessment play major roles in patient treatment and follow-up. In the last decades, new imaging techniques based on magnetic resonance imaging (MRI) have been developed, improving diagnosis. In practice, diagnosis can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. In this regard, computer-aided detection and computer-aided diagnosis systems are being designed to help radiologists in their clinical practice. This chapter analyzes the current state of the art in the development of computer-aided diagnosis and detection systems for prostate cancer detection.