2017 14th International Multi-Conference on Systems, Signals &Amp; Devices (SSD) 2017
DOI: 10.1109/ssd.2017.8167012
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A novel ant colonies approach to medical image segmentation

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Cited by 2 publications
(2 citation statements)
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“…The authors in [75] proposed a modified ACO to detect malignant cells of prostate biopsies and compared them with manual detection methods. The results showed a high performance of the proposed method against the manual methods with an improvement rate ranging between 0.3 and 0.56.…”
Section: Image Segmentation Based On Ant Colony Optimization (Aco)mentioning
confidence: 99%
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“…The authors in [75] proposed a modified ACO to detect malignant cells of prostate biopsies and compared them with manual detection methods. The results showed a high performance of the proposed method against the manual methods with an improvement rate ranging between 0.3 and 0.56.…”
Section: Image Segmentation Based On Ant Colony Optimization (Aco)mentioning
confidence: 99%
“…Regression Superpixel [74] Medical MRI images Not provided FCM Markov random field (MRF) [75] MRI-guided prostate biopsies Not provided Manual method [76] Very-high-spatial-resolution Not provided Chi-square (VHSR) aerial imagery CFS provided by the Gain ratio Ajman municipality Information gain SVM Principal component analysis (PCA) [77] Infrared image of N = 4 FCM baed ACO ship τ 0 = 0.001 ρ = 0.01 φ = 0.001 [78] Structured color image iter = 50 Canny method [84] Cerebral MRI iter = 2500 Simulated annealing (SA) Resonance (MR) (*) N = 10 GA House ρ = 0.9 τ 0 = 0.001 [85] Cerebral MRI iter = 2500 Simulated annealing (SA) Resonance (MR) (*)…”
Section: Image Segmentation Based On Ant Colony Optimization (Aco)mentioning
confidence: 99%