BACH: Grand challenge on breast cancer histology images

Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysis by pathologists, in a task that i) is highly time- and cost-consuming and ii) often leads to nonconsensual results. The relevance and potential of automatic classification algorithms using hematoxylin-eosin stained histopathological images has already been demonstrated, but the reported results are still sub-optimal for clinical use. With the goal of advancing the state-of-the-art in automatic classification, the Grand Challenge on BreAst Cancer Histology images…

• NR
  National Research Foundation of Korea

  Award: 2016R1C1B2012433
• FC
  Fundació Catalana de Trasplantament

  Awards: SFRH/BD/120435/2016, SFRH/BD/122365/2016
• FP
  Fundação para a Ciência e a Tecnologia