Manual contouring in the estimation of the tumor bed volume during radiotherapy planning is a time-consuming process with greater chances of inter and intra observer variability. The study investigates the feasibility of a artificial intelligence-based model to automate the contouring process using surgical clips and operative scans. Consequently, improving delineation accuracy and aiding in effective radiotherapy treatment planning. This study will help in better delineation of tumor bed… Show more Manual contouring in the estimation of the tumor bed volume during radiotherapy planning is a time-consuming process with greater chances of inter and intra observer variability. The study investigates the feasibility of a artificial intelligence-based model to automate the contouring process using surgical clips and operative scans. Consequently, improving delineation accuracy and aiding in effective radiotherapy treatment planning. This study will help in better delineation of tumor bed volumes and reduce the chances of error and improve efficiency. Show less