NuSeC: A Dataset for Nuclei Segmentation in Breast Cancer Histopathology Images
Samet, Refik, Nemati, Nooshin, Hancer, Emrah, Sak, Serpil, Kirmizi, Bilge Ayca
–arXiv.org Artificial Intelligence
Prof. Dr. Bilge Ayca Kirmizi, akarabork@yahoo.com 1 Introduction Breast cancer is the most frequently diagnosed form of cancer and is the second leading cause of death caused by cancer in women. In order to diagnose breast cancer type, stage, and grade accurately, examination of tissue biopsies and operation specimens is necessary. The biopsy specimens must be fixed embedded in paraffin blocks, mounted on glass slides and stained. Hematoxylin and Eosin (H&E), is a routine stain used in pathology laboratories all over the globe, which gives a good contrast of a tissue section and is commonly used to identify nuclei and cytoplasm [1]. Nevertheless, histopathological examination of the prapared slides involves laborious, time - consuming processes that are limited by specimen quality and pathologist experience.
arXiv.org Artificial Intelligence
Jul-22-2025
- Country:
- Asia > Middle East > Republic of Türkiye
- Ankara Province > Ankara (0.14)
- Burdur Province > Burdur (0.05)
- Asia > Middle East > Republic of Türkiye
- Genre:
- Research Report (0.40)
- Industry:
- Health & Medicine > Therapeutic Area > Oncology > Breast Cancer (0.60)
- Technology: