Dynamic Convolution Model Enhances 3D Reconstruction of Complex Mesoscale Neurons
A dynamic convolution framework improves three-dimensional neuron reconstruction by adapting kernel shape and orientation to follow complex filamentous branches.
A dynamic convolution framework improves three-dimensional neuron reconstruction by adapting kernel shape and orientation to follow complex filamentous branches.
Agricultural engineers developed a multi-task computer vision framework combining depth-assisted foundation model annotation with an enhanced Mask2Former network to evaluate ...
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