[D] Improvements/alternatives to U-net for medical images segmentation?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • segmentation_models.pytorch

    Segmentation models with pretrained backbones. PyTorch.

  • SMP offers a wide variety of segmentation models with the option to use pre-trained weights.

  • nnUNet

  • I would also try the nnU-Net which should give state-of-the-art performance, and so will give you a good idea of what's possible with the dataset that you have: https://github.com/MIC-DKFZ/nnUNet

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts