Dataset of breast ultrasound images
Open accessAbstract
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.
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BreastMNIST is a 2D dataset based on a dataset of 780 breast ultrasound images, simplified into binary classification by combining normal and benign as positive and classifying them against malignant as negative.
“The BreastMNIST is based on a dataset25 of 780 breast ultrasound images. It is categorized into 3 classes: normal, benign, and malignant. As we use low-resolution images, we simplify the task into binary classification by combining normal and benign as positive and classifying them against malignant as negative.”
From MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification (2023) · cites this paper as [25]
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- Authors
- Al-Dhabyani, W., Gomaa, M., Khaled, H., & Fahmy, A.
- Affiliations
- Cairo University (EG)
- Corresponding author
- Al-Dhabyani, Walid
- Venue
- Data in Brief
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 28
- Pages
- 104863
- ISSN
- 2352-3409 (ISSN-L)
- PMC
- PMC6906728
- OpenAlex
- W2991372685
- Cited by
- 2,405
- References
- 0
- Citations by year
- 2026: 586 · 2025: 677 · 2024: 522 · 2023: 337 · 2022: 171 · 2021: 95 · 2020: 17
- Type
- data paper
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Data in Brief (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- breast cancer, breast ultrasound, medical image classification, benign and malignant tumors, early cancer detection, image segmentation, machine learning
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