The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth

3クラス(肌、服、髪)のセマンティックセグメンテーションを実施するモデル(A model that performs semantic segmentation of 3 classes(skin, clothes, hair))

1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.

Keras (Tensorflow) code for the manuscript 'DenseUNets with feedback non-local attention for the segmentation of specular images of the corneal endothelium with Fuchs dystrophy'

Polyp segmentation on the Kvasir-SEG dataset using deep learning models like UNet, UNet++, PSPNet, and DeepLabV3Plus with ResNet50 and MobileNetV2 encoders.

Unet++ with ELU activision as Decoder and NasNet mobile

Using U-Net based models to perform brain MRI Segmentation

U-Net++ implementation for multi-class semantic segmentation

Сегментация КТ-снимков лёгких для выявления поражения тканей от COVID-19 на основе глубоких свёрточных нейронных сетей