Breast Tumor Segmentation Based on SLIC and GVF Snake Algorithm

Fig. 2. SLIC results comparison chart. (a) Original image; (b) pre-processing result map; (c) SLIC algorithm segmentation result map when K'<K; (d) adaptive K value corresponding result map; (e) result graph when K'>K

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Fig. 3. PR curves corresponding to different K values

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Fig. 4. Experimental results. (a1)-(d1) Original images; (a2)-(d2) gradient images; (a3)-(d3) results of watershed algorithm; (a4)-(d4) results of level set algorithm; (a5)-(d5) results of GVF Snake algorithm; (a6)-(d6) results of proposed algorithm; (a7)-(d7) results of standard segmentation

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Fig. 5. PR curves and DICE linear graph of different segmentation models. (a) PR curves; (b) DICE linear graph

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Table 1. Evaluation of segmentation results of different K values
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Table 1. Evaluation of segmentation results of different K values
Index Fig. 1(a) Fig. 1(b) Fig. 1(c)
100 125 150 50 71 100 15 18 50
DICE 0.8307 0.8419 0.8242 0.8382 0.8441 0.8301 0.7657 0.7700 0.7394
VOE 0.3383 0.3160 0.3515 0.3236 0.3117 0.3397 0.4686 0.4599 0.5212

Table 2. Average absolute error corresponding to different K values
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Table 2. Average absolute error corresponding to different K values
Index K'>K K'<K K'=K
MAE 0.173802 0.172418 0.171266

Table 3. Evaluation indicators for different segmentation models

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Table 3. Evaluation indicators for different segmentation models

Algorithm index	DICE		VOE		RVD		Precision		Recall
Algorithm index	Fig. 4(a)	Fig. 4(b)	Fig. 4(a)	Fig. 4(b)	Fig. 4(a)	Fig. 4(b)	Fig. 4(a)	Fig. 4(b)	Fig. 4(a)	Fig. 4(b)
Level set	0.9101	0.9173	0.1662	0.1621	0.1810	0.1763	0.8403	0.8485	0.9925	0.9981
SLIC	0.8419	0.8441	0.3160	0.3117	0.3752	0.3693	0.7271	0.7303	0.9204	0.9327
GVF Snake	0.8987	0.8898	0.2024	0.1018	0.2252	0.0018	0.8161	0.7870	0.9258	0.9483
Watershed	0.9161	0.9122	0.1534	0.1705	0.1661	0.1864	0.8509	0.8406	0.9922	0.9973
SLIC+GVF Snake	0.9305	0.9357	0.1255	0.0935	0.1339	0.0893	0.8755	0.9816	0.9928	0.8939

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Yan Wang, Jiying Li, Yilin Yang, Yongqian Yu, Jinghui Wang. Breast Tumor Segmentation Based on SLIC and GVF Snake Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141023

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