Table 1.

Summary of the literature review.

Tasks	Categories	Methods proposed
Mitosis detection/segmentation	Region-based algorithms	Marker control watershed (Yang et al., 2006), Morphology (Nedzved et al., 2000; Lin et al., 2007), Entropy thresholding (Chowdhury et al., 2010), Contextual model (Seyedhosseini and Tasdizen, 2013), Graph binarization (Al-Kofahi et al., 2010).
	Boundary-based algorithms	Level sets (Mukherjee et al., 2004; Nath et al., 2006; Dzyubachyk et al., 2008), Active contours (Lee et al., 1999).
Mitosis classification	Image processing and analysis	Pixel level likelihood (Sertel et al., 2009), Unsupervised clustering (Roullier et al., 2011), Wavelets (Weyn et al., 1998), Textural features (Irshad et al., 2013), Adaboosts (Tek, 2013).
	Machine learning	REMSS (Paul and Mukherjee, 2015), SVM (Tao et al., 2007), Genetic algorithms (Nateghi et al., 2014), AggNet (Albarqouni et al., 2016), Deep learning (Ciresan et al., 2012).