Fig. 1. Pathological section of ANENs

Fig. 2. Overall design flow chart of the system scheme

Fig. 3. Image of ANENs pathological section (left) and color image of YUV (right)

Fig. 4. YUV spatial threshold segmentation images. (a) Threshold segmentation image of positive cell; (b) threshold segmentation image of negative cells

Fig. 5. Images processed by mathematical morphology. (a) Positive cell; (b) negative cells

Fig. 6. One-dimensional minimum highlight process. (a) One-dimensional data; (b) minimum highlight results

Fig. 7. Positive cells processing images obtained by improved watershed algorithm. (a) Image of ANENs pathological section; (b) distance transform image; (c) image by forced minimum technique processing; (d) image processed by improved watershed algorithm; (e) binary segmentation image; (f) color marker segmentation image

Fig. 8. Negative cells processing images obtained by improved watershed algorithm. (a) Image of ANENs pathological section; (b) distance transform images; (c) image by forced minimum technique processing; (d) image processed by improved watershed algorithm; (e) binary segmentation image; (f) color marker segmentation image

Fig. 9. Negative cells segmentation effect diagrams before and after algorithm improvement. (a)--(c) Traditional watershed algorithm; (d)--(f) improved watershed algorithm

Fig. 10. Over-segmentation rate data of negative cells

Fig. 11. Data analysis of Ki-67 index

Fig. 12. Comparison of time consumption on image processing

Table 1. Experimental data of positive cells in ANENs pathological section images obtained by improved watershed algorithm

Table 2. Experimental data of negative cells in ANENs pathological section images

Table 3. Experimental data of diagnostic indicators of ANENs pathological sections