Zhenzhen Wan, Shuai Han, Ning Shi, Fang Liu, Shaoyong Zhang, Chunxue Li. Computer-Aided Prognosis Evaluation for MKI of Pathological Slices of Peripheral Neuroblastic Tumors[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0810004
- Laser & Optoelectronics Progress
- Vol. 59, Issue 8, 0810004 (2022)
Fig. 1. Classification of pNT pathological images
Fig. 2. YCbCr and gradient amplitude diagram. (a) Original sample image; (b) YCbCr space image; (c) edge detection graph; (d) gradient amplitude image
Fig. 3. Characteristic diagram of NEU nuclear fission
Fig. 4. Mathematical morphology reconstruction of NEU. (a) Binary image; (b) mathematical morphology reconstruction
Fig. 5. Mathematical morphology marking and correction. (a) Mathematical morphology marking; (b) Euclidean distance transformation; (c) gradient reconstruction
Fig. 6. Effect diagrams of pNT segmentation. (a) Overlay of original images on edge of objects; (b) overlay of original images by mark matrix
Fig. 7. Comparison of chromaticity characteristic components. (a) PMN; (b) interstitial space; (c) NEU; (d) Y component comparison; (e) Cb component comparison; (f) Cr component comparison
Fig. 8. PMN extraction. (a) Threshold classification; (b) corrosion and expansion; (c) superimposed mark on original image
Fig. 9. NEU frequency distribution histogram
Fig. 10. Comparison of improved watershed algorithm and doctor count
Fig. 11. Comparison of MKI values calculated by proposed algorithm and doctor’s manual calculation
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Table 1. Results of experiment data of pNT pathological slice image segmentation
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