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Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey., , and . Comput. Methods Programs Biomed., (2019)Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning., , and . IEEE Access, (2021)Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases., , , , , , , , , and 4 other author(s). APPIS, volume 310 of Frontiers in Artificial Intelligence and Applications, page 280-289. IOS Press, (2018)Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction., and . CoRR, (2023)Model Regularisation for Skin Lesion Symmetry Classification: SymDerm v2.0., , , , , and . CAIP (1), volume 14184 of Lecture Notes in Computer Science, page 99-109. Springer, (2023)Automatic Detection of Symmetry in Dermoscopic Images Based on Shape and Texture., , , and . IPMU (1), volume 1237 of Communications in Computer and Information Science, page 625-636. Springer, (2020)How Do Different Tasks Influence Each Other's Learning? Case Study In Dermoscopic Images., , and . ISBI, page 1755-1759. IEEE, (2021)A Multitasking Learning Framework for Dermoscopic Image Analysis., , and . CIARP, volume 12702 of Lecture Notes in Computer Science, page 34-44. Springer, (2021)An Encoder-Decoder CNN for Hair Removal in Dermoscopic Images., , and . CoRR, (2020)A novel approach for skin lesion symmetry classification with a deep learning model., , , , , and . Comput. Biol. Medicine, (2022)