Interactive semantic segmentation of 3D medical images: Comparative analysis of discrete and gradient descent based batch query retrieval methods in active learning

Accurate segmentation of anatomical structures and abnormalities in medical images is crucial, but manual segmentation is time-consuming and automated approaches lack clinical accuracy. In recent years, active learning approaches that aim to combine automatic segmentation with manual input have gained attention in the field, aiming to reduce the...