This project focuses on the segmentation of body vessels and bones, as well as the detection of kidney stones and gallbladder stones in CT scans. By meticulously labeling these elements, we aim to create an AI model that can accurately identify and segment these structures within the body. This detailed annotation process is essential for training the AI, enabling it to differentiate between various tissues, vessels, bones, and stones with high accuracy.
Project objectives
This project will significantly improve diagnostic precision, allowing doctors to better assess conditions related to blood vessels, bone health, and the presence of stones in the kidneys or gallbladder. With AI's ability to quickly and accurately segment these structures, healthcare providers can make more informed decisions, leading to more effective treatments and better patient outcomes.
