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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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GAGL Dataset

Authors: Panagiotis Barmpoutis; William Waddingham; Jing Yuan; Christopher Ross; Kayhanian Hamzeh; Tania Stathaki; Daniel C. Alexander; +1 Authors
Abstract

GAstric GLands (GAGL) dataset. - v.1 GAGL 'minimal dataset' (a part of GAGL dataset) consists of 9 downsampled WSI including 3 normal, 3 gastric atrophic and 3 intestinal metaplasia cases. The minimal dataset could be used for the validation of the study findings of the following study: A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases. GAGL dataset consists of 85 WSI, collected from 20 patients. Gastric tissues were collected at University College London Hospital NHS trust, with ethical approval (research ethics committee (REC) reference: 15/YH/0311, & 19/LO/0089), with informed consent taken for prospective tissue collection. Samples were collected prospectively from patients undergoing gastrectomy for cancer, or sleeve gastrectomy for weight loss, with archival tissue used from endoscopic surveillance biopsies. Tissue underwent routine Hematoxylin & Eosin (H&E) staining. More specifically, the dataset includes 14 normal, 26 GA and 45 IM images. Please cite as: To be confirmed.

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Keywords

Intestinal Metaplasia, Gastric Cancer, Gastric glands, Whole Slide Images, Gastric Atrophy

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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).
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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!
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Cancer Research