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. 2019 Nov 21:28:104863.
doi: 10.1016/j.dib.2019.104863. eCollection 2020 Feb.

Dataset of breast ultrasound images

Walid Al-Dhabyani  1 , Mohammed Gomaa  2 , Hussien Khaled  2 , Aly Fahmy  1
Affiliations

Dataset of breast ultrasound images

Walid Al-Dhabyani et al. Data Brief. .

Abstract

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. The data presented in this article reviews the medical images of breast cancer using ultrasound scan. Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning.

Keywords: Breast cancer; Classification; Dataset; Deep learning; Detection; Medical images; Segmentation; Ultrasound.

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Figures

Fig. 1
Fig. 1
Samples of Ultrasound breast images dataset.
Fig. 2
Fig. 2
Samples of original Ultrasound breast images dataset (Original images that are scanned by the LOGIQ E9 ultrasound system).
Fig. 3
Fig. 3
Samples of Ultrasound breast images dataset after refining.
Fig. 4
Fig. 4
Samples of Ultrasound breast images and Ground Truth Images.
See this image and copyright information in PMC

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References

    1. Al-Dhabyani Walid, Gomaa Mohammed, Khaled Hussien, Aly Fahmy. “Deep learning approaches for data augmentation and classification of breast masses using ultrasound images”. Int. J. Adv. Comput. Sci. Appl. 2019;10(5)
    1. Medixant . 2018. RadiAnt DICOM Viewer.https://www.radiantviewer.com
    1. Śmieszny . 2013. Fast Photo Crop.https://www.microsoft.com/ar-eg/p/fast-photo-crop/9wzdncrdnvpv?activetab...
    1. MATLAB and Statistics Toolbox Release. The MathWorks, Inc.; Natick, Massachusetts, United States: 2015.

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