EBHI: A new Enteroscope Biopsy Histopathological H&E Image Dataset for image classification evaluation.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date: Feb 17, 2023

Abstract

BACKGROUND AND PURPOSE: Colorectal cancer has become the third most common cancer worldwide, accounting for approximately 10% of cancer patients. Early detection of the disease is important for the treatment of colorectal cancer patients. Histopathological examination is the gold standard for screening colorectal cancer. However, the current lack of histopathological image datasets of colorectal cancer, especially enteroscope biopsies, hinders the accurate evaluation of computer-aided diagnosis techniques. Therefore, a multi-category colorectal cancer dataset is needed to test various medical image classification methods to find high classification accuracy and strong robustness.

Authors

  • Weiming Hu
  • Chen Li
    School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Md Mamunur Rahaman
    Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
  • Haoyuan Chen
    Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
  • Wanli Liu
    Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
  • Yudong Yao
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
  • Hongzan Sun
    Shengjing Hospital, China Medical University, Shenyang, 110001, China.
  • Marcin Grzegorzek
    Institute for Vision and Graphics, University of Siegen, Hoerlindstr. 3, 57076 Siegen, Germany.
  • Xiaoyan Li
    Shulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, China.

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