Automated Skin Lesion Segmentation using VGG-UNet
Author:
Affiliation:
1. National Superior School of Mines,MECAtronique Team, CPS2E Laboratory,Rabat,Morocco
2. National Superior School of Mines,ADOS Team, LISTD Laboratory,Rabat,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10068562/10068565/10068634.pdf?arnumber=10068634
Reference32 articles.
1. Hair Removal and Lesion Segmentation with FCN8-ResNetC and Image Processing in Images of Skin Cancer
2. Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance;yuan;IEEE Transactions on Medical Imaging,2017
3. Skin Lesion Segmentation Based on Improved U-net
4. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging
5. Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation;alom;ArXiv Preprint,2018
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