Published February 8, 2024 | Version 1.0
Dataset Open

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology - Model Weights

  • 1. ROR icon University of Bern
  • 2. ROR icon Max Delbrück Center
  • 3. ROR icon Humboldt-Universität zu Berlin
  • 4. ROR icon Radboud University Medical Center
  • 5. ROR icon Yale School of Medicine

Description

This repository contains trained weights for:

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology

(Under review at MIDL2024)

More information and code are available at https://github.com/digitalpathologybern/hover_next_inference

lizard_convnextv2_large,lizard_convnextv2_base and lizard_convnextv2_tiny correspond to HoVer-NeXt_Large,HoVer-NeXt_Base and HoVer-NeXt_Tiny.

pannuke_convnextv2_tiny_* corresponds to the weights trained on the specific pannuke split.

Files

lizard_convnextv2_base.zip

Files (1.7 GB)

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md5:af62e2228397180913447ca6e3b7a0e5
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Additional details

Software

Programming language
Python
Development Status
Active