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About Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
The document summarizes a research paper on skin lesion segmentation in dermoscopic images using ensemble deep learning methods. The proposed methods are an ensemble of Mask R-CNN and DeeplabV3+ trained on the ISIC-2017 segmentation training set. The ensemble methods achieved a sensitivity of 89.93% and specificity of 97.94% for lesion boundary segmentation on the ISIC-2017 testing set, outperforming other methods. The ensemble also performed well at segmenting different lesion types with specificities above 97.30%.
Detailed Information
| Author: | ['z123'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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