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UNet-Plus-Plus-Segmention-with-mobilenetv3

Using U-net architecture as decoder and MobileNet V3 and V2 as encoder The official code for "Covid-19 CT scans dataset_".

How to use

first download models and save them in same directory with IPYNB file as jupyter notebooks.

Encoders and Decoders

encoder Architecture is Unet++ based on segmentation_models.pytorch. also we can use other Architecture such as Unet, PspNet, FPN, MaNet, LinkNet, Pan and others.. for decoder we can use all the Architecture such as Mobilenet V1,V2,V3- ResNet 18,34,50,101,152- VGG 11,16,19- EfficientNet B0,B1,B2,B3,B4,B5,B6,B7- Xception and others..

Model weights

Google Drive Link:().

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Using Unet architecture as decoder and MobileNet V3 as encoder

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