SkinAACN: An Efficient Skin Lesion Classification Based on Attention Augmented ConvNeXt with Hybrid Loss Function
Author:
Affiliation:
1. School of Software, Northwestern Polytechnical University, China
2. School of Software, University of Electronic Science and Technology of China, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638584.3638608
Reference17 articles.
1. Soumyya Kanti Datta Mohammad Abuzar Shaikh Sargur Srihari and Mingchen Gao. 2021. Soft-Attention Improves Skin Cancer Classification Performance. (2021). https://doi.org/10.1101/2021.05.12.21257114
2. Epiluminescence Image Processing for Melanocytic Skin Lesion Diagnosis Based on 7-Point Check-List: A Preliminary Discussion on Three Parameters
3. Nils Gessert Maximilian Nielsen Mohsin Shaikh René Werner and A. Schlaefer. 2019. Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data. MethodsX 7 (2019). https://api.semanticscholar.org/CorpusID:203952496
4. Attention mechanisms in computer vision: A survey
5. A survey, review, and future trends of skin lesion segmentation and classification
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