Skin Lesion Segmentation Using U-Net With Different Backbones: Comparative Study
Author:
Affiliation:
1. Tunisia Polytechnic School, University of Carthage,SERCOM Laboratory,La Marsa 2078,Tunisia
2. EITA Consulting,Montesson,France,78360
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10431414/10431488/10431489.pdf?arnumber=10431489
Reference16 articles.
1. DL Methods for Skin Lesions Automated Diagnosis In Smartphone Images
2. Full Interpretability CBMIR to Help Minimize Radiologist Analysis Search Time
3. Xception-ResNet Autoencoder for Pneumothorax Segmentation
4. Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
5. An efficient deep learning model to predict cardiovascular disease based on ECG signal
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