"Fuzzy C Mean Thresholding based Level Set for Automated Segmentation of Skin Lesions"
written by Ammara Masood, Adel Ali Al-Jumaily,
published by Journal of Signal and Information Processing, Vol.4 No.3B, 2013
has been cited by the following article(s):
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[14] Estudo comparativo de técnicas para segmentação e classificação de imagens de lesões de pele
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[17] Enhancement of dermoscopic images and feature extraction for classification of skin lesions
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[18] GMM guided automated Level Set algorithm for PET image segmentation
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[19] Self-supervised learning model for skin cancer diagnosis
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[20] A local fuzzy thresholding methodology for multiregion image segmentation
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[21] SA-SVM based automated diagnostic system for skin cancer
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[22] Automatic skin cancer detection system
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[23] Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM
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[24] Integrating soft and hard threshold selection algorithms for accurate segmentation of skin lesion
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[25] Development of Automated Diagnostic System for Skin Cancer: Performance Analysis of Neural Network Learning Algorithms for Classification
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[26] A BINARY LEVEL SET METHOD BASED ON K-MEANS FOR CONTOUR TRACKING ON SKIN CANCER IMAGES
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[27] A Hybrid Dermoscopic Images Segmentation Scheme Using Fast FCM, DWT2 and YUV
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[28] Automated segmentation of skin lesions: Modified Fuzzy C mean thresholding based level set method
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