UNet++
UNet++
UNet++ is an architecture for semantic segmentation based on the [U-Net](https://paperswithcode.com/method/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)](https://imagej.net/events/isbi-2012-segmentation-challenge), [Cell](https://acsjournals.onlinelibrary.wiley.com/doi/full/10.1002/cncy.21576), [Nuclei](https://www.kaggle.com/c/data-science-bowl-2018), [Brain Tumor](https://paperswithcode.com/dataset/brats-2013-1), [Liver](https://paperswithcode.com/dataset/lits17) and [Lung Nodule](https://paperswithcode.com/dataset/lidc-idri) medical image segmentation tasks.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://paperswithcode.com/paper/unet-a-nested-u-net-architecture-for-medical
UNet++: A Nested U-Net Architecture for Medical Image Segmentation