AMTLUS: Attention-guided multi-task learning with uncertainty estimation in skin lesion segmentation and classification

Author:

Kasukurthi AravindaORCID,Davuluri Rajya Lakshmi

Publisher

Springer Science and Business Media LLC

Reference51 articles.

1. Habif TP, Campbell JL, Dinulos JG, Chapman MS, Zug KA. (2017) Skin Disease: Diagnosis and Treatment, 4th Edn. Elsevier Health Sciences,eBook . Available at: https://shop.elsevier.com/books/skin-disease/habif/978-0-323-44222-0

2. Hasan MK, Ahamad MA, Yap CH, Yang G (2023) A survey, review, and future trends of skin lesion segmentation and classification. Comput Biol Med 155:106624. https://doi.org/10.1016/j.compbiomed.2023.106624

3. American Cancer Society Editorial Team (2023) Key Statistics for Melanoma Skin Cancer. Facts & Figures 2023. American Cancer Society, cancer.org - 1.800.227.2345. Atlanta, Ga. Available at: https://www.cancer.org/content/dam/CRC/PDF/Public/8823.00.pdf

4. Emre Celebi M, Codella Noel, Halpern Allan (2019) Dermoscopy image analysis: overview and future directions. IEEE Journal Of Biomedical And Health Informatics 2(2):474–478

5. Adegun A, Viriri S (2021) Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. Artif Intell Rev 54:811–841

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