EMED-UNet: an efficient multi-encoder-decoder based UNet for medical image segmentation
Many current and state-of-the-art deep learning models for accurate image segmentation
are based on the U-Net architecture, a convolutional neural network designed for …
are based on the U-Net architecture, a convolutional neural network designed for …
[引用][C] EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation
KD Shah, DK Patel, MP Thaker, HA Patel… - IEEE …, 2023 - ui.adsabs.harvard.edu
EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation -
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS EMED-UNet: An …
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS EMED-UNet: An …
[PDF][PDF] EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation
KD SHAH, DK PATEL, MP THAKER, HA PATEL… - academia.edu
Many current and state-of-the-art deep learning models for accurate image segmentation
are based on the U-Net architecture, a convolutional neural network designed for …
are based on the U-Net architecture, a convolutional neural network designed for …
[PDF][PDF] EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation
KD SHAH, DK PATEL, MP THAKER, HA PATEL… - academia.edu
Many current and state-of-the-art deep learning models for accurate image segmentation
are based on the U-Net architecture, a convolutional neural network designed for …
are based on the U-Net architecture, a convolutional neural network designed for …