Anatomical Landmark

Anatomical landmark detection involves precisely locating key points on medical images, crucial for diagnosis and treatment planning. Current research emphasizes developing robust and efficient methods, particularly one-shot learning approaches using foundation models and transformer architectures, to minimize the need for extensive labeled data. These advancements aim to improve the accuracy and speed of landmark identification across diverse imaging modalities, ultimately streamlining clinical workflows and potentially enhancing diagnostic capabilities. The focus is on creating models that generalize well across different domains and imaging conditions, addressing challenges like domain shift and variations in image quality.