Melanoma skin cancer detection using deep learning-based lesion segmentation
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-024-02004-8.pdf
Reference32 articles.
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2. Sadeghi M, Razmara M, Lee TK, Atkins MS (2011) A novel method for detection of pigment network in dermoscopic images using graphs. Comput Med Imaging Graph 35(2):137–143. https://doi.org/10.1016/j.compmedimag.2010.07.002
3. Adegun AA, Viriri S (2020) Fcn-based densenet framework for automated detection and classification of skin lesions in dermoscopy images. IEEE Access 8:150377–150396. https://doi.org/10.1109/ACCESS.2020.3016651
4. Hasan SN, Gezer M, Azeez RA, Gülseçen S (2019) Skin lesion segmentation by using deep learning techniques. In: 2019 medical technologies congress (TIPTEKNO), pp 1–4. https://doi.org/10.1109/TIPTEKNO.2019.8895078
5. Pennisi A, Bloisi DD, Nardi D, Giampetruzzi AR, Mondino C, Facchiano A (2016) Skin lesion image segmentation using delaunay triangulation for melanoma detection. Comput Med Imaging Graph 52:89–103. https://doi.org/10.1016/j.compmedimag.2016.05.002
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