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ZENODO
Dataset . 2024
License: CC BY NC SA
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY NC SA
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY NC SA
Data sources: Datacite
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HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology - Datasets

Authors: Baumann, Elias; Dislich, Bastian; Rumberger, Josef Lorenz; Nagtegaal, Iris D.; Martínez Rodríguez, María; Zlobec, Inti;

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

Abstract

This repository contains training and validation data for HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology Accepted for Oral Presentation at MIDL2024: https://openreview.net/pdf?id=3vmB43oqIO More information and code are available at https://github.com/digitalpathologybern/hover_next_inference Modified Lizard dataset to include mitosis (lizard_mitosis.zip), mitosis dataset (mitosis_ds.zip) and a holdout eosinophil validation set (eos_eval.zip) mitosis_ds.zip also contains the hold-out H&E mitosis test set. The original lizard dataset was createdy by Simon Graham et al. and was shared under CC BY-NC-SA 4.0. The tile-based dataset can be downloaded from https://conic-challenge.grand-challenge.org/Data/ after registering for the challenge. We modify the dataset by including an additional mitosis class, however note that there are a number of mitosis which are still not (correctly annotated).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average