CT Dataset

CT datasets are collections of computed tomography scans used to train and evaluate algorithms for various medical image analysis tasks, ranging from organ segmentation and disease detection to adverse drug event prediction. Current research emphasizes developing robust models, including 3D UNets and other deep learning architectures, to improve accuracy and efficiency, often incorporating techniques like prompt tuning and multimodal data integration to address challenges in data scarcity and annotation. These advancements are crucial for improving diagnostic capabilities, accelerating drug development, and ultimately enhancing patient care through more accurate and efficient medical image analysis.