Classification of Benign or Malignant Cell Nuclei using Nucleolus
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Cytology directly examining cells in the early detection of cancer plays an important role in the medical diagnosis, but this diagnosis depends on the experience and technology of a pathologist. Problem is that it costs time for the examination and its objectivity is poor in the less experienced pathologist. Although there are some previous researches to detect nuclei, this paper proposes the automatic classification of benign or malignant of cell nuclei based on the characteristics that nucleolus has the features of malignant cell nuclei and appears frequently in the malignant cell with cancer. Classification of benign or malignant cell nuclei is performed by detecting nucleoli and counting the number of nucleolus detected.
[1] Yuji Iwahori,et al. Extraction of Cell Nuclei using CNN Features , 2017, KES.
[2] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.
[3] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).