arXiv Open Access 2021

Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue

Kengo Araki Mariyo Rokutan-Kurata Kazuhiro Terada Akihiko Yoshizawa Ryoma Bise

Lihat Sumber

Abstrak

Pathological diagnosis is used for examining cancer in detail, and its automation is in demand. To automatically segment each cancer area, a patch-based approach is usually used since a Whole Slide Image (WSI) is huge. However, this approach loses the global information needed to distinguish between classes. In this paper, we utilized the Distance from the Boundary of tissue (DfB), which is global information that can be extracted from the original image. We experimentally applied our method to the three-class classification of cervical cancer, and found that it improved the total performance compared with the conventional method.

Topik & Kata Kunci

eess.IV cs.CV

Penulis (5)

Kengo Araki

Mariyo Rokutan-Kurata

Kazuhiro Terada

Akihiko Yoshizawa

Ryoma Bise

Format Sitasi

APA MLA BibTeX

Araki, K., Rokutan-Kurata, M., Terada, K., Yoshizawa, A., Bise, R. (2021). Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue. https://arxiv.org/abs/2108.08508

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓