BUSI_WHU: Breast Cancer Ultrasound Image Dataset

Published: 11 October 2023| Version 1 | DOI: 10.17632/k6cpmwybk3.1
Contributors:
Jin Huang, Jingwen Zhang, Yimin Zhang, Xiaoxiao Li, Xiao Ma, Jingwen Deng, Hui Shen, Du Wang, liye mei, Cheng Lei

Description

We collected breast cancer ultrasound images diagnosed breast cancer in radiology of Renmin Hospital of Wuhan University from December 2020 to December 2022. The dataset contains 927 images including benign and malignant cancer from patients with the range of age 17 to 79. Meanwhile, the ethical approval of this study was approved by the ethics committee of Renmin Hospital of Wuhan University (WDRY2022-K217). Each image contains tumor regions. At the same time, the dataset has different tumor area and morphology features, including contrast, brightness, and fuzzy. In summary, we collected a breast ultrasound image for the segmentation task.

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Institutions

Categories

Breast Cancer, Tumor

Funders

  • Science Fund for Distinguished Young Scholars of Hubei Province
    Hubei, China
    Grant ID: 2021CFA042
  • National Natural Science Foundation of China
    Beijing, China
    Grant ID: 62075200
  • Fundamental Research Funds for the Central Universities
    Beijing, China
    Grant ID: 2042022kf1224
  • Fundamental Research Funds for the Central Universities
    Beijing, China
    Grant ID: 2042022gf0004
  • Jiangsu Province Science and Technology Department
    Jiangsu, China
    Grant ID: BK20221257
  • Shenzhen Municipal Science and Technology Innovation Council
    Guangdong, China
    Grant ID: JCYJ20220530140601003
  • Translational Medicine andMultidisciplinary Research Project of Zhongnan Hospital of Wuhan University
    Grant ID: ZNJC202217
  • Translational Medicine and Multidisciplinary Research Project of Zhongnan Hospital of Wuhan University
    Grant ID: ZNJC202232
  • CCF-AFSG Research Fund
    Grant ID: CCF-AFSG RF20220001
  • The Interdisciplinary Innovative Talents Foundation from Renmin Hospital of Wuhan University
    Grant ID: JCRCYR-2022-014
  • The Interdisciplinary Innovative Talents Foundation from Renmin Hospital of Wuhan University
    Grant ID: JCRCYR-2022-006

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