Existing deep learning methods have achieved significant success in medical image segmentation. However, this success largely relies on stacking advanced modules and architectures, which has created a ...

Deep learning has revolutionised medical image segmentation by enabling automated, high-precision delineation of anatomical structures and pathological regions across modalities such as MRI, CT and ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...