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About Automatic Skin Cancer Detection in Dermoscopy Images Based On Ensemble Lightweight Deep Learning Network
The document summarizes research on developing an automatic skin cancer detection system using dermoscopy images. It proposes a lightweight deep learning network that uses two feature extraction modules and a feature discrimination network. This approach aims to better distinguish lesion features and improve accuracy with fewer model parameters. It also describes a lightweight semantic segmentation model built from the feature extraction module to precisely segment lesion areas without complex preprocessing. Experimental results on public datasets showed the proposed methods outperformed state-of-the-art deep learning approaches for skin cancer detection and segmentation in dermoscopy images.
Detailed Information
Author: | ['z123'] |
---|---|
Publication Year: | 2022 |
Pages: | 15 |
Language: | English |
Format: | |
Price: | FREE |
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