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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Benign Breast Tumor Dataset

Authors: Zhandos Sembay;

Benign Breast Tumor Dataset

Abstract

ABSTRACT This dataset has information of 83 patients from India. This dataset contains patients’ clinical history, histopathological features, and mammogram. The distinctive aspect of this dataset lies in its collection of mammograms that have benign tumors and used in subclassification of benign tumors. Instructions: This datasest contains a zip folder of 80 mammograms and an excel file having mammographic features, histopathological features as well as clinical fatures of all the patients. Inspiration: This dataset uploaded to U-BRITE for "AI against CANCER DATA SCIENCE HACKATHON" https://cancer.ubrite.org/hackathon-2021/ Acknowledgements Manish Joshi, Aparna Bhale, Unmesh Takalkar, May 9, 2021, "Benign Breast Tumor Dataset", IEEE Dataport, doi: https://dx.doi.org/10.21227/6sda-hn78. https://ieee-dataport.org/open-access/benign-breast-tumor-dataset U-BRITE last update date: 07/09/2021

U-BRITE location: /data/project/ubrite/cancer-hackathon/org/ieee-dataport/benign-breast-tumor-dataset

Keywords

breast cancer, benign tumor, Mammograms, Histopathology

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selected citations
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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).
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!
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Cancer Research