A Deep Learning-based Annotation Tool for Medical Images is a cutting-edge technology that utilizes artificial intelligence algorithms to assist medical professionals in the annotating process of medical images. This tool leverages the power of deep learning algorithms to make predictions about the annotations that need to be added to the medical images, making the process faster and more accurate. The importance of this tool lies in the fact that medical images play a critical role in the diagnosis and treatment of various medical conditions. Accurate annotations are essential for the correct interpretation of these images and the development of effective treatment plans. By automating the annotation process with the help of deep learning algorithms, the tool helps medical professionals save time and resources while ensuring that the annotations are accurate and up to date. The tool is semi-automatic, which means that while it automates the process to a large extent, it also provides users with the power to change the deep learning model's prediction if they feel that the annotation is not accurate. This allows medical professionals to fine-tune the annotations to ensure that they are perfect and in line with their professional judgment. This hybrid approach strikes the perfect balance between automation and manual intervention, ensuring that the annotations are accurate, efficient, and reliable. In conclusion, the Deep Learning-based Annotation Tool for Medical Images is a valuable tool for medical professionals, providing them with an efficient and accurate solution for annotating medical images. By combining the power of deep learning algorithms with the expertise of medical professionals, the tool enables medical professionals to make informed decisions and provide the best possible care for their patients.