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 cancerBreast ultrasoundUltrasoundMedicineSegmentationRadiologyArtificial intelligenceCancerComputer scienceMammographyInternal medicine

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Publication Info

Year
2019
Type
article
Volume
28
Pages
104863-104863
Citations
1680
Access
Closed

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1680
OpenAlex
105
Influential
1543
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Cite This

Walid Al-Dhabyani, Mohammed Mohammed Mohammed Gomaa, Hussien Khaled et al. (2019). Dataset of breast ultrasound images. Data in Brief , 28 , 104863-104863. https://doi.org/10.1016/j.dib.2019.104863

Identifiers

DOI
10.1016/j.dib.2019.104863
PMID
31867417
PMCID
PMC6906728

Data Quality

Data completeness: 81%