A Feature-Based Out-of-Distribution Detection Approach in Skin Lesion Classification

Author:

Carvalho ThiagoORCID,Vellasco MarleyORCID,Amaral José FrancoORCID,Figueiredo KarlaORCID

Publisher

Springer Nature Switzerland

Reference38 articles.

1. Ali, S.N., et al.: Monkeypox skin lesion detection using deep learning models: a preliminary feasibility study. arXiv preprint arXiv:2207.03342 (2022)

2. Lecture Notes in Computer Science;C Berger,2021

3. Calderon-Ramirez, S., Yang, S., Elizondo, D., Moemeni, A.: Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: a novel approach using feature densities. Appl. Soft Comput. 123, 108983 (2022)

4. Cao, T., Huang, C.W., Hui, D.Y.T., Cohen, J.P.: A benchmark of medical out of distribution detection. arXiv preprint arXiv:2007.04250 (2020)

5. Carvalho, T., Vellasco, M., Amaral, J.F.: Out-of-distribution detection in deep learning models: a feature space-based approach. In: International Joint Conference on Neural Networks (2023)

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