
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).
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
