On Computer-Aided Diagnosis of Prostate Cancer from MRI using Machine Intelligence Techniques

Prostate cancer is one of the major cause of cancer death among men. Mortality rate due to prostate cancer can be reduced significantly by early diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is a major modality for early detection of prostate cancer. Recent studies have proven that MRI can be used for grading of prostate cancer also. In this paper, a survey on computer-aided detection and grading of prostate cancer is done exploring the state-of-the-art techniques. The paper examines various stages of computer-aided diagnosis of prostate cancer including detection of cancer, estimation of clinical significance of cancer and grading of cancer. The survey compares the performance of different techniques available in the lliteraure and provides directions for further research.