Automatic delineation of organs at risk for prostate cancer on computed tomography images using convolutional neural networks
Background: Prostate cancer is the fourth most common cancer worldwide and the second most common in men. Accurate identification of organs at risk (OARs) is crucial for improving treatment planning, making the process faster and more efficient. Artificial intelligence has become a vital tool in medicine, reducing dela...