Evolution in prostate cancer diagnostics: Traversing the deep learning view
B. Tejaswini, R. Suma · A.A. Balkema eBooks · 2025
Prostate cancer, is widely considered as the dangerous cancer specially in male. To treat this disease effectively we need an exact detection mechanism. Though Adenocarcinomas is growing in slower pace, the increase in the detection and diagnosis of the same with the better methodology. Existing techniques such as PSA test and TRUS biopsy are considered to be having certain setbacks. Hence, more precise and effective diagnosis technique is the need of the hour. This research observes the growth of prostate cancer verification techniques, making use of deep learning technology. The latest method encompasses MRI and computer-aided diagnosis (CAD). Hussain et al. , came up with a research document signifying consolidation technique such as machine learning, medical imaging as well as deep learning to identify prostate cancer. Algorithms like SVM, DT, Bayes, and deep learning have significantly improved detection accuracy and efficiency, revolutionizing this field. This review encompasses current detection methods, emphasizing deep learning&s;s crucial contribution to enhanced precision, time-saving, and early diagnosis.