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ZENODO
Dataset . 2017
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 . 2017
License: CC BY
Data sources: Datacite
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Breast Carcinoma Histological Images From The Department Of Pathology, "Agios Pavlos" General Hospital Of Thessaloniki, Greece

Research datakeyboard_double_arrow_right Dataset 26 Jul 2017Publisher:Zenodo
Authors: Zioga, Christina; Kamas, Athanasios; Patsiaoura, Kalliopi; Dimitropoulos, Kosmas; Barmpoutis, Panagiotis; Grammalidis, Nikos;

doi: 10.5281/zenodo.834909 , 10.5281/zenodo.834910

Breast Carcinoma Histological Images From The Department Of Pathology, "Agios Pavlos" General Hospital Of Thessaloniki, Greece

Abstract

This dataset contains cases of breast carcinoma histological specimens received at the Department of Pathology, “Agios Pavlos” General Hospital of Thessaloniki, Greece. The dataset consists of 300 annotated images of resolution 1280x960 corresponding to 21 different patients with invasive ductal carcinoma of the breast of grades 1-3 (grouped in the corresponding folders). More details about the dataset are presented in the paper: K. Dimitropoulos, P. Barmpoutis, C. Zioga, A. Kamas, K. Patsiaoura and N. Grammalidis, "Grading of invasive breast carcinoma through Grassmannian VLAD encoding", submitted for publication to PLOS ONE, 2017.

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Keywords

Breast cancer, Grading of invasive breast carcinoma

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citations
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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.
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