Automatic Prostate Cancer Segmentation: An AI-Based Tool For Radiological Clinical Practice

One in eight men may receive a prostate cancer diagnosis at some point in their lives, making prostate cancer a serious health risk for males. Radiologists can detect and investigate worrisome lesions with multi-parametric magnetic resonance imaging. Artificial intelligence (AI) has become a viable tool to assist radiologists in their clinical work in recent years. Radiologists were able to identify small anomalies more rapidly because of artificial intelligence, which streamlined the procedure by speedily evaluating enormous amounts of medical imaging data. The purpose of this study is to utilize the Segment Anything Model (SAM) for semi-automated prostate lesion segmentation by simply placing a bounding box around the region of interest to reduce the radiologists' manual effort.