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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2019
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2019
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2019
Data sources: ZENODO
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MaXIMA Breast Lesions Models Database

Authors: Bliznakova, Kristina; Dukov, Nikolay; Feradov, Firgan; Gospodinova, Galja; Bliznakov, Zhivko; Russo, Paolo; Mettivier, Giovanni; +8 Authors

MaXIMA Breast Lesions Models Database

Abstract

The MaXIMA Breast Lesions Models Database is intended to provide researchers with both segmented and mathematical computer-based breast lesion models with realistic shape. The database is part of the MaXIMA project (maxima-eu.com). Contents: Breast cancer models obtained by segmentation of 3D patient breast tomosynthesis images. Breast cancer models obtained by segmentation of whole body and breast cadavers CT images. Breast cancer models based on a mathematical algorithm. Anonymized digital breast tomosynthesis patient images. Mammography images of StepWedge phantoms from different materials. Mammography images of breast phantoms. Mammography reference images. The following articles describe the MaXIMA Breast Lesions Models Database and how it is created: Bliznakova, K., Dukov, N., Feradov, F., Gospodinova, G., Bliznakov, Z., Russo, P., Mettivier, G., Bosmans, H., Cockmartin, L., Sarno, A., et al, Development of breast lesions models database, Physica Medica, 64, 293-303, 2019, DOI: https://doi.org/10.1016/j.ejmp.2019.07.017 Dukov, N., Bliznakova, K., Feradov, F., Buliev, I., Bosmans, H., Mettivier, G., Russo, P., Cockmartin, L., Bliznakov, Z., Models of breast lesions based on three-dimensional X-ray breast images, Physica Medica, 57, 80-87, 2019, DOI: https://doi.org/10.1016/j.ejmp.2018.12.012 Please READ and FOLLOW all of the instructions, or your request will not be considered. Contacts: Kristina Bliznakova, MaXIMA project coordinator kristina.bliznakova@gmail.com

Keywords

Database, Lesion models, Breast lesions, Computational models, Breast imaging

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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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