Open AccessMitotic Cell Detection in Breast Histopathology Image: A Review
Author(s) -
Jianhua Tan,
Nazahah Mustafa,
Mashor Mohd Yusoff,
Ab Rahman Khairul Shakir
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1372/1/012026
Subject(s) - grading (engineering) , computer science , normalization (sociology) , image processing , feature extraction , artificial intelligence , digital image processing , computer vision , pattern recognition (psychology) , biology , image (mathematics) , ecology , sociology , anthropology
Mitotic assessment is one of the critical features in the Nottingham Histological Grading (NHG) system for breast cancer grading. In recent years, rapid development in the performance of mounted camera, computer processing power, and data processing speed have fostered the research interest in detection of mitotic cells using image processing techniques. This paper is meant as an introduction of the recent methods and approaches specifically in detection of mitotic cells for the non-experts. It starts with overview of the grading system, online dataset, and the recent proposed methods in each step (i.e., color normalization, nuclei detection, feature extraction, and classification) of the mitotic cell assessment procedure. A brief discussion and the open problems pertinent to the established works were presented at the end of this paper.