Proposed optimized active contour based approach for accurately skin lesion segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15436-4.pdf
Reference56 articles.
1. Abbes W, Sellami D (2017) Automatic skin lesions classification using ontology-based semantic analysis of optical standard images. Proced Comput Sci 112:2096–2105
2. Abdullah AS, Rahebi J, Özok YE, Aljanabi M (2020) A new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model. Med Biol Eng Comput 58.1:25–37
3. Afza F, Khan MA, Sharif M, Rehman A (2019) Microscopic skin laceration segmentation and classification: a framework of statistical normal distribution and optimal feature selection. Microsc Res Tech 82.9:1471–1488
4. Ahn E, Kim J, Bi L, Kumar A, Li C, Fulham M, Feng DD (2017) Saliency-based lesion segmentation via background detection in dermoscopic images. IEEE J Biomed Health Inf 21.6:1685–1693
5. Albahli S, Nida N, Irtaza A, Yousaf MH, Mahmood MT (2020) Melanoma lesion detection and segmentation using YOLOv4-DarkNet and active contour. IEEE Access 8:198403–198415
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