Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis dataset.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Breast cancer is a type of cancer that develops in breast tissues, and, after skin cancer, it is the most commonly diagnosed cancer in women in the United States. Given that an early diagnosis is imperative to prevent breast cancer progression, many machine learning models have been developed in recent years to automate the histopathological classification of the different types of carcinomas. However, many of them are not scalable to large-scale datasets.

Authors

  • Hoon Seo
    Department of Computer Science, Colorado School of Mines, Golden, CO 80401, USA.
  • Lodewijk Brand
    Department of Computer Science, Colorado School of Mines, Golden, CO 80401, USA.
  • Lucia Saldana Barco
    Department of Computer Science, Colorado School of Mines, Golden, CO 80401, USA.
  • Hua Wang
    Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.