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| "title": "HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology - Datasets", |
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| "description": "<p>This repository contains training and validation data for</p>\n<p><strong>HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology </strong></p>\n<p><strong>Accepted for Oral Presentation at MIDL2024: <a href=\"https://openreview.net/pdf?id=3vmB43oqIO\">https://openreview.net/pdf?id=3vmB43oqIO</a> <br></strong></p>\n<p><strong>More information and code are available at <a href=\"https://github.com/digitalpathologybern/hover_next_inference\" target=\"_blank\" rel=\"noopener\">https://github.com/digitalpathologybern/hover_next_inference</a></strong></p>\n<p>Modified Lizard dataset to include mitosis (lizard_mitosis.zip), mitosis dataset (mitosis_ds.zip) and a holdout eosinophil validation set (eos_eval.zip)</p>\n<p>mitosis_ds.zip also contains the hold-out H&E mitosis test set.</p>\n<p>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 <a href=\"https://conic-challenge.grand-challenge.org/Data/\">https://conic-challenge.grand-challenge.org/Data/</a> 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).</p>", |
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| { |
| "name": "Baumann, Elias", |
| "affiliation": "University of Bern", |
| "orcid": "0000-0003-4655-4925" |
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| { |
| "name": "Dislich, Bastian", |
| "affiliation": "University of Bern", |
| "orcid": "0000-0002-4838-4686" |
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| { |
| "name": "Rumberger, Josef Lorenz", |
| "affiliation": "Max Delbr\u00fcck Center", |
| "orcid": "0000-0002-7225-7011" |
| }, |
| { |
| "name": "Nagtegaal, Iris D.", |
| "affiliation": "Radboud University Medical Center", |
| "orcid": "0000-0003-0887-4127" |
| }, |
| { |
| "name": "Mart\u00ednez Rodr\u00edguez, Mar\u00eda", |
| "affiliation": "Yale School of Medicine" |
| }, |
| { |
| "name": "Zlobec, Inti", |
| "affiliation": "University of Bern", |
| "orcid": "0000-0001-6741-3000" |
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| "references": [ |
| "Graham, S., Jahanifar, M., Azam, A.S., Nimir, M., Tsang, Y., Dodd, K.C., Hero, E., Sahota, H., Tank, A., Benes, K., Wahab, N., Minhas, F.A., Raza, S.E., Eldaly, H., Gopalakrishnan, K., Snead, D.R., & Rajpoot, N.M. (2021). Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 684-693." |
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