Rujuta O and Vyavahare AJ
Histological tissue section provides rich information about cellular structure. There are considerable amount of variations in cell structure, and cell organization that impede analysis of large histological dataset. This paper is a review of some recent state-of-art nucleus/cell segmentation approaches on different types of microscopic images. In the conventional diagnosis, pathologist analyze biopsies to make diagnostic assessment. Recently some automatic methods have been evolving in digital histopathology with growing application related to nuclear detection and segmentation. We and discussed and studied here various trends on nucleus detection, and segmentation.
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