Understanding the Challenges of Medical Imaging
Medical imaging often presents unique challenges, particularly when dealing with occlusion and multiple image formats. Objects within medical images can be hidden or fragmented, making it difficult for AI models to accurately analyze specific regions like anterior and posterior portions. Additionally, different image formats such as DICOM, TIF, Leica, etc., introduce further complexity in ensuring consistent annotations across various platforms. These factors contribute to the difficulty of automating effective clinical analysis.