Optimized Skin Lesion Segmentation: Analysing DeepLabV3+ and ASSP Against Generative AI-Based Deep Learning Approach
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10699-024-09957-w.pdf
Reference35 articles.
1. Ahmed, N., Tan, X., & Ma, L. (2022). A new method proposed to melanoma-skin cancer lesion detection and segmentation based on hybrid convolutional neural network. Multimedia Tools and Applications, pp. 1–24.
2. Ali, K., Shaikh, Z. A., Khan, A. A., & Laghari, A. A. (2022). Multiclass skin cancer classification using efficientnets: A first step towards preventing skin cancer. Neuroscience Informatics, 2(4), 100034.
3. Al-Masni, M. A., Al-Antari, M. A., Choi, M.-T., Han, S.-M., & Kim, T.-S. (2018). Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Computer Methods and Programs in Biomedicine, 162, 221–231.
4. Anand, V., Gupta, S., Koundal, D., & Singh, K. (2023). Fusion of u-net and cnn model for segmentation and classification of skin lesion from dermoscopy images. Expert Systems with Applications, 213, 119230.
5. Araújo, R. L., de Araújo, F. H. D., & Silva, R. R. E. (2022). Automatic segmentation of melanoma skin cancer using transfer learning and fine-tuning. Multimedia Systems, 28(4), 1239–1250.
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