Most of the models for image segmentation today are the variants of the classical U-Net. By applying some improvements on the convolution blocks and skip connections in U-Net, this paper proposes a ...

U-Net is characterized by its encoder-decoder architecture and pioneering skip ... U-Net++ introduces nested and dense skip connections, further strengthening the connection between the encoder and ...

module to replace the skip-connection in 3D U-Net, which can better integrate multi-scale encoder features and bridge the semantic gap between encoder and decoder. The proposed method has achieved ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

Decoder: The decoder upsamples the image to restore its original dimensions. It uses information from both the encoder's output and its own previous outputs. Skip Connections: One unique feature of ...