U-Net: Convolutional Networks for Biomedical Image Segmentation
2026-05-30
About Paper
Venue / Year: MICCAI 2015 Link: https://arxiv.org/abs/1505.04597
TL;DR
- Problem: Extremely small dataset sizes for biomedical image segmentation (lack of annotated data).
- Method: A U-shaped encoder-decoder architecture with skip connections to combine global context and precise localization, heavily relying on strong data augmenta…