Automatic breast cancer grading of histopathological images

Abstract

Breast cancer grading of histopathological images is the standard clinical practice for the diagnosis and prognosis of breast cancer development. In a large hospital, a pathologist typically handles 100 grading cases per day, each consisting of about 2000 image frames. It is, therefore, a very tedious and time-consuming task. This paper proposes a method for automatic computer grading to assist pathologists by providing second opinions and reducing their workload. It combines the three criteria in the Nottingham scoring system using a multi-resolution approach. To our best knowledge, there is no existing work that provide complete grading according to the Nottingham criteria.

Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images

“…Secondly several structures, besides tubules, also contain lumen, i.e., blood vessels and Scientific RepoRts | 6:32706 | DOI: 10.1038/srep32706 other types of glands. Morphological operators have been used to connect proximal cancerous cells and generate blob structures 9 . These blobs were identified as tubules when they were found to be surrounding a white space or lumen.…”

Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review

“…83 Several algorithms have been proposed to segment tubules in BC H&E images. However, a morphological operation that proposed earlier time 84 showed false-positive results. Adipose tissue was also regarded as a tubule in that research, whereas Naik et al 85 first identified lumen, epithelial cytoplasm, and nuclei using a Bayesian classifier.…”

Mitosis Extraction in Breast-Cancer Histopathological Whole Slide Images

“…This can be lesser representative than having a score established according to the whole preparation which was of course too tedious for pathologists under a classical microscope until now. With the advent of fast whole slide image scanners, it is now possible [6]. Our study drives towards this direction.…”