Dataset of breast ultrasound images.
Breast cancer
Classification
Dataset
Deep learning
Detection
Medical images
Segmentation
Ultrasound
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Feb 2020
Feb 2020
Historique:
received:
24
06
2019
revised:
12
11
2019
accepted:
13
11
2019
entrez:
24
12
2019
pubmed:
24
12
2019
medline:
24
12
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31867417
doi: 10.1016/j.dib.2019.104863
pii: S2352-3409(19)31218-1
pii: 104863
pmc: PMC6906728
doi:
Types de publication
Journal Article
Langues
eng
Pagination
104863Informations de copyright
© 2019 The Authors.