UNet++

2000년 도입 · 논문 61편에서 사용

UNet++ is an architecture for semantic segmentation based on the U-Net. Through the use of densely connected nested decoder sub-networks, it enhances extracted feature processing and was reported by its authors to outperform the U-Net in Electron Microscopy (EM), Cell, Nuclei, Brain Tumor, Liver and Lung Nodule medical image segmentation tasks.

출처: UNet++: A Nested U-Net Architecture for Medical Image Segmentation

소개 논문: UNet++: A Nested U-Net Architecture for Medical Image Segmentation