An Accurate Skin Lesion Classification Using Fused Pigmented Deep Feature Extraction Method
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2057-8_3
Reference36 articles.
1. Javed, R., Shafry, M., Saba, T., Fati, S.M., Rehman, A., et al.: Statistical histogram decision based contrast categorization of skin lesion datasets dermoscopic images. Computers. Mater. Continua. 67(2), 2337–2352 (2021)
2. Khan, M.A., Sharif, M I., Raza, M., Anjum, A., Saba, T., Shad, S A.: Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection. Expert Syst. e12497 (2019)
3. Saba, T., Khan, M.A., Rehman, A., Marie-Sainte, S.L.: Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction. J. Med. Syst. 43(9), 289 (2019)
4. Yuan, Y., Chao, M., Lo, Y.: Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks with Jaccard Distance, vol. 0062, no. c, pp. 1–11 (2017). https://doi.org/10.1109/TMI.2017.2695227
5. Khan, S., Yong, S.P.: A comparison of deep learning and hand crafted features in medical image modality classification. In: 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), pp. 633–638 (2016). https://doi.org/10.1109/ICCOINS.2016.7783289
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