Thus, the hypothesis is that this prior knowledge on spatial configuration of landmarks could enable the network to simplify the modeling of the underlying distribution of feasible anatomical configurations and therefore less training data is required. Although constraints on spatial configuration have ...
The positive samples are weighted using the MDP-RGH to ensure rotational Gaussian distribution. The Gaussian heatmap confidence is used to predict whether a target is a positive or negative sample, thereby improving detection and reducing network computation. After that, a new anchor-free oriented ...
The positive samples are weighted using the MDP-RGH to ensure rotational Gaussian distribution. The Gaussian heatmap confidence is used to predict whether a target is a positive or negative sample, thereby improving detection and reducing network computation. After that, a new anchor-free oriented ...